From 32c54116318929c90fd7ae814cf9b5232cd44c36 Mon Sep 17 00:00:00 2001
From: Howard Su <howard0su@gmail.com>
Date: Thu, 13 Jul 2023 21:58:25 +0800
Subject: Revert "Support using mmap when applying LoRA (#2095)" (#2206)

Has perf regression when mlock is used.

This reverts commit 2347463201a9f4159ae95b737e1544dd300569c8.
---
 examples/server/README.md  | 2 +-
 examples/server/server.cpp | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/README.md b/examples/server/README.md
index 3691abd..ad9b6bb 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -16,7 +16,7 @@ Command line options:
 -   `--memory-f32`: Use 32-bit floats instead of 16-bit floats for memory key+value. Not recommended.
 -   `--mlock`: Lock the model in memory, preventing it from being swapped out when memory-mapped.
 -   `--no-mmap`: Do not memory-map the model. By default, models are mapped into memory, which allows the system to load only the necessary parts of the model as needed.
--   `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model. This allows you to adapt the pretrained model to specific tasks or domains.
+-   `--lora FNAME`: Apply a LoRA (Low-Rank Adaptation) adapter to the model (implies --no-mmap). This allows you to adapt the pretrained model to specific tasks or domains.
 -   `--lora-base FNAME`: Optional model to use as a base for the layers modified by the LoRA adapter. This flag is used in conjunction with the `--lora` flag, and specifies the base model for the adaptation.
 -   `-to N`, `--timeout N`: Server read/write timeout in seconds. Default `600`.
 -   `--host`: Set the hostname or ip address to listen. Default `127.0.0.1`.
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 4114343..296c5d6 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -632,7 +632,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
     fprintf(stderr, "                        model path (default: %s)\n", params.model.c_str());
     fprintf(stderr, "  -a ALIAS, --alias ALIAS\n");
     fprintf(stderr, "                        set an alias for the model, will be added as `model` field in completion response\n");
-    fprintf(stderr, "  --lora FNAME          apply LoRA adapter\n");
+    fprintf(stderr, "  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
     fprintf(stderr, "  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
     fprintf(stderr, "  --host                ip address to listen (default  (default: %s)\n", sparams.hostname.c_str());
     fprintf(stderr, "  --port PORT           port to listen (default  (default: %d)\n", sparams.port);
@@ -820,6 +820,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
                 break;
             }
             params.lora_adapter = argv[i];
+            params.use_mmap = false;
         }
         else if (arg == "--lora-base")
         {
-- 
cgit v1.2.3


From 6e7cca404748dd4b1a3affd0d1296e37f4ac0a6f Mon Sep 17 00:00:00 2001
From: Xiao-Yong Jin <jinxiaoyong@gmail.com>
Date: Sat, 15 Jul 2023 06:34:16 -0400
Subject: llama : add custom RoPE (#2054)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Implement customizable RoPE

The original RoPE has pre-defined parameters

theta_i = 10000^(−2(i−1)/d), for i in [1, 2, ..., d/2]

Our customizable RoPE, ggml_rope_custom_inplace, uses

theta_i = scale * base^(−2(i−1)/d), for i in [1, 2, ..., d/2]

with the default matches the original

scale = 1.0
base = 10000

The new command line arguments
--rope-freq-base
--rope-freq-scale
set the two new RoPE parameter.

Recent researches show changing these two parameters extends the context limit with minimal loss.

1. Extending Context to 8K
   kaiokendev
   https://kaiokendev.github.io/til#extending-context-to-8k

2. Extending Context Window of Large Language Models via Positional Interpolation
   Shouyuan Chen, Sherman Wong, Liangjian Chen, Yuandong Tian
   https://arxiv.org/abs/2306.15595

3. NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation.
   https://www.reddit.com/user/bloc97
   https://www.reddit.com/r/LocalLLaMA/comments/14lz7j5/ntkaware_scaled_rope_allows_llama_models_to_have/

For the bold, try adding the following command line parameters to your favorite model:
-c 16384 --rope-freq-base 80000 --rope-freq-scale 0.5

* ggml-metal: fix custom rope

* common: fix argument names in help

* llama: increase MEM_REQ_EVAL for MODEL_3B

It avoids crashing for quantized weights on CPU.
Better ways to calculate the required buffer size would be better.

* llama: make MEM_REQ_EVAL depend on n_ctx

* server: use proper Content-Type in curl examples

Without the header Content-Type: application/json, curl will POST with
Content-Type: application/x-www-form-urlencoded

Though our simple server doesn't care, the httplib.h used has a limit
with CPPHTTPLIB_FORM_URL_ENCODED_PAYLOAD_MAX_LENGTH 8192

With Content-Type: application/json, we can send large json data.

* style : minor fixes, mostly indentations

* ggml : fix asserts

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---
 examples/common.cpp        | 16 +++++++++
 examples/common.h          |  2 ++
 examples/main/main.cpp     | 12 +++++--
 examples/server/README.md  |  1 +
 examples/server/chat.sh    |  2 ++
 examples/server/server.cpp | 18 ++++++++++
 ggml-metal.m               | 45 ++++++++++++++-----------
 ggml-metal.metal           |  6 ++--
 ggml.c                     | 50 ++++++++++++++++++++-------
 ggml.h                     | 11 ++++++
 llama.cpp                  | 84 ++++++++++++++++++++++++++++------------------
 llama.h                    |  5 +++
 12 files changed, 185 insertions(+), 67 deletions(-)

(limited to 'examples/server')

diff --git a/examples/common.cpp b/examples/common.cpp
index 94875b0..8705127 100644
--- a/examples/common.cpp
+++ b/examples/common.cpp
@@ -168,6 +168,18 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
                 break;
             }
             params.n_ctx = std::stoi(argv[i]);
+        } else if (arg == "--rope-freq-base") {
+            if (++i >= argc) {
+                invalid_param = true;
+                break;
+            }
+            params.rope_freq_base = std::stof(argv[i]);
+        } else if (arg == "--rope-freq-scale") {
+            if (++i >= argc) {
+                invalid_param = true;
+                break;
+            }
+            params.rope_freq_scale = std::stof(argv[i]);
         } else if (arg == "--memory-f32") {
             params.memory_f16 = false;
         } else if (arg == "--top-p") {
@@ -493,6 +505,8 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     fprintf(stderr, "  --cfg-scale N         strength of guidance (default: %f, 1.0 = disable)\n", params.cfg_scale);
     fprintf(stderr, "  --cfg-smooth-factor N smooth factor between old and new logits (default: %f, 1.0 = no smoothing)\n", params.cfg_smooth_factor);
     fprintf(stderr, "  -c N, --ctx-size N    size of the prompt context (default: %d)\n", params.n_ctx);
+    fprintf(stderr, "  --rope-freq-base N    RoPE base frequency (default: %.1f)\n", params.rope_freq_base);
+    fprintf(stderr, "  --rope-freq-scale N   RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale);
     fprintf(stderr, "  --ignore-eos          ignore end of stream token and continue generating (implies --logit-bias 2-inf)\n");
     fprintf(stderr, "  --no-penalize-nl      do not penalize newline token\n");
     fprintf(stderr, "  --memory-f32          use f32 instead of f16 for memory key+value (default: disabled)\n");
@@ -573,6 +587,8 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
     lparams.use_mlock    = params.use_mlock;
     lparams.logits_all   = params.perplexity;
     lparams.embedding    = params.embedding;
+    lparams.rope_freq_base  = params.rope_freq_base;
+    lparams.rope_freq_scale = params.rope_freq_scale;
 
     return lparams;
 }
diff --git a/examples/common.h b/examples/common.h
index 6315df9..f52fef6 100644
--- a/examples/common.h
+++ b/examples/common.h
@@ -32,6 +32,8 @@ struct gpt_params {
     int32_t main_gpu                        = 0;   // the GPU that is used for scratch and small tensors
     float   tensor_split[LLAMA_MAX_DEVICES] = {0}; // how split tensors should be distributed across GPUs
     int32_t n_probs                         = 0;   // if greater than 0, output the probabilities of top n_probs tokens.
+    float   rope_freq_base                  = 10000.0f; // RoPE base frequency
+    float   rope_freq_scale                 = 1.0f;     // RoPE frequency scaling factor
 
     // sampling parameters
     std::unordered_map<llama_token, float> logit_bias; // logit bias for specific tokens
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index 2248c24..bcbcf12 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -84,9 +84,17 @@ int main(int argc, char ** argv) {
         return 0;
     }
 
+    if (params.rope_freq_base != 10000.0) {
+        fprintf(stderr, "%s: warning: changing RoPE frequency base to %g (default 10000.0)\n", __func__, params.rope_freq_base);
+    }
+
+    if (params.rope_freq_scale != 1.0) {
+        fprintf(stderr, "%s: warning: scaling RoPE frequency by %g (default 1.0)\n", __func__, params.rope_freq_scale);
+    }
+
     if (params.n_ctx > 2048) {
-        fprintf(stderr, "%s: warning: model might not support context sizes greater than 2048 tokens (%d specified);"
-                "expect poor results\n", __func__, params.n_ctx);
+        fprintf(stderr, "%s: warning: base model only supports context sizes no greater than 2048 tokens (%d specified);"
+                " you are on your own\n", __func__, params.n_ctx);
     } else if (params.n_ctx < 8) {
         fprintf(stderr, "%s: warning: minimum context size is 8, using minimum size.\n", __func__);
         params.n_ctx = 8;
diff --git a/examples/server/README.md b/examples/server/README.md
index ad9b6bb..e5ca826 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -66,6 +66,7 @@ Using [curl](https://curl.se/). On Windows `curl.exe` should be available in the
 ```sh
 curl --request POST \
     --url http://localhost:8080/completion \
+    --header "Content-Type: application/json" \
     --data '{"prompt": "Building a website can be done in 10 simple steps:","n_predict": 128}'
 ```
 
diff --git a/examples/server/chat.sh b/examples/server/chat.sh
index a89f8e9..0143601 100644
--- a/examples/server/chat.sh
+++ b/examples/server/chat.sh
@@ -32,6 +32,7 @@ tokenize() {
         --silent \
         --request POST \
         --url "${API_URL}/tokenize" \
+        --header "Content-Type: application/json" \
         --data-raw "$(jq -ns --arg content "$1" '{content:$content}')" \
     | jq '.tokens[]'
 }
@@ -64,6 +65,7 @@ chat_completion() {
         --no-buffer \
         --request POST \
         --url "${API_URL}/completion" \
+        --header "Content-Type: application/json" \
         --data-raw "${DATA}")
 
     printf "\n"
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 296c5d6..f442f2b 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -608,6 +608,8 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
     fprintf(stderr, "  -v, --verbose         verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
     fprintf(stderr, "  -t N, --threads N     number of threads to use during computation (default: %d)\n", params.n_threads);
     fprintf(stderr, "  -c N, --ctx-size N    size of the prompt context (default: %d)\n", params.n_ctx);
+    fprintf(stderr, "  --rope-freq-base N    RoPE base frequency (default: %.1f)\n", params.rope_freq_base);
+    fprintf(stderr, "  --rope-freq-scale N   RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale);
     fprintf(stderr, "  -b N, --batch-size N  batch size for prompt processing (default: %d)\n", params.n_batch);
     fprintf(stderr, "  --memory-f32          use f32 instead of f16 for memory key+value (default: disabled)\n");
     fprintf(stderr, "                        not recommended: doubles context memory required and no measurable increase in quality\n");
@@ -722,6 +724,22 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
             }
             params.n_ctx = std::stoi(argv[i]);
         }
+        else if (arg == "--rope-freq-base")
+        {
+            if (++i >= argc) {
+                invalid_param = true;
+                break;
+            }
+            params.rope_freq_base = std::stof(argv[i]);
+        }
+        else if (arg == "--rope-freq-scale")
+        {
+            if (++i >= argc) {
+                invalid_param = true;
+                break;
+            }
+            params.rope_freq_scale = std::stof(argv[i]);
+        }
         else if (arg == "--memory-f32" || arg == "--memory_f32")
         {
             params.memory_f16 = false;
diff --git a/ggml-metal.m b/ggml-metal.m
index c795ee2..ee205bc 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -881,28 +881,35 @@ void ggml_metal_graph_compute(
 
                             const int n_past = ((int32_t *)(src1->data))[0];
 
+                            float freq_base;
+                            float freq_scale;
+                            memcpy(&freq_base,  (int32_t *) src1->data + 4, sizeof(float));
+                            memcpy(&freq_scale, (int32_t *) src1->data + 5, sizeof(float));
+
                             [encoder setComputePipelineState:ctx->pipeline_rope];
                             [encoder setBuffer:id_src0 offset:offs_src0 atIndex:0];
                             [encoder setBuffer:id_dst  offset:offs_dst  atIndex:1];
-                            [encoder setBytes:&ne00   length:sizeof( int64_t) atIndex:2];
-                            [encoder setBytes:&ne01   length:sizeof( int64_t) atIndex:3];
-                            [encoder setBytes:&ne02   length:sizeof( int64_t) atIndex:4];
-                            [encoder setBytes:&ne03   length:sizeof( int64_t) atIndex:5];
-                            [encoder setBytes:&nb00   length:sizeof(uint64_t) atIndex:6];
-                            [encoder setBytes:&nb01   length:sizeof(uint64_t) atIndex:7];
-                            [encoder setBytes:&nb02   length:sizeof(uint64_t) atIndex:8];
-                            [encoder setBytes:&nb03   length:sizeof(uint64_t) atIndex:9];
-                            [encoder setBytes:&ne0    length:sizeof( int64_t) atIndex:10];
-                            [encoder setBytes:&ne1    length:sizeof( int64_t) atIndex:11];
-                            [encoder setBytes:&ne2    length:sizeof( int64_t) atIndex:12];
-                            [encoder setBytes:&ne3    length:sizeof( int64_t) atIndex:13];
-                            [encoder setBytes:&nb0    length:sizeof(uint64_t) atIndex:14];
-                            [encoder setBytes:&nb1    length:sizeof(uint64_t) atIndex:15];
-                            [encoder setBytes:&nb2    length:sizeof(uint64_t) atIndex:16];
-                            [encoder setBytes:&nb3    length:sizeof(uint64_t) atIndex:17];
-                            [encoder setBytes:&n_past length:sizeof(     int) atIndex:18];
-                            [encoder setBytes:&n_dims length:sizeof(     int) atIndex:19];
-                            [encoder setBytes:&mode   length:sizeof(     int) atIndex:20];
+                            [encoder setBytes:&ne00    length:sizeof( int64_t) atIndex:2];
+                            [encoder setBytes:&ne01    length:sizeof( int64_t) atIndex:3];
+                            [encoder setBytes:&ne02    length:sizeof( int64_t) atIndex:4];
+                            [encoder setBytes:&ne03    length:sizeof( int64_t) atIndex:5];
+                            [encoder setBytes:&nb00    length:sizeof(uint64_t) atIndex:6];
+                            [encoder setBytes:&nb01    length:sizeof(uint64_t) atIndex:7];
+                            [encoder setBytes:&nb02    length:sizeof(uint64_t) atIndex:8];
+                            [encoder setBytes:&nb03    length:sizeof(uint64_t) atIndex:9];
+                            [encoder setBytes:&ne0     length:sizeof( int64_t) atIndex:10];
+                            [encoder setBytes:&ne1     length:sizeof( int64_t) atIndex:11];
+                            [encoder setBytes:&ne2     length:sizeof( int64_t) atIndex:12];
+                            [encoder setBytes:&ne3     length:sizeof( int64_t) atIndex:13];
+                            [encoder setBytes:&nb0     length:sizeof(uint64_t) atIndex:14];
+                            [encoder setBytes:&nb1     length:sizeof(uint64_t) atIndex:15];
+                            [encoder setBytes:&nb2     length:sizeof(uint64_t) atIndex:16];
+                            [encoder setBytes:&nb3     length:sizeof(uint64_t) atIndex:17];
+                            [encoder setBytes:&n_past  length:sizeof(     int) atIndex:18];
+                            [encoder setBytes:&n_dims  length:sizeof(     int) atIndex:19];
+                            [encoder setBytes:&mode    length:sizeof(     int) atIndex:20];
+                            [encoder setBytes:&freq_base  length:sizeof(float) atIndex:21];
+                            [encoder setBytes:&freq_scale length:sizeof(float) atIndex:22];
 
                             [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(1, 1, 1)];
                         } break;
diff --git a/ggml-metal.metal b/ggml-metal.metal
index f094a1d..9f9a4fb 100644
--- a/ggml-metal.metal
+++ b/ggml-metal.metal
@@ -656,17 +656,19 @@ kernel void kernel_rope(
         constant       int & n_past,
         constant       int & n_dims,
         constant       int & mode,
+        constant     float & freq_base,
+        constant     float & freq_scale,
         uint3 tpig[[thread_position_in_grid]]) {
     const int64_t i3 = tpig[2];
     const int64_t i2 = tpig[1];
     const int64_t i1 = tpig[0];
 
     const bool is_neox = mode & 2;
-    const float theta_scale = pow(10000.0, -2.0f/n_dims);
+    const float theta_scale = pow(freq_base, -2.0f/n_dims);
 
     const int64_t p = ((mode & 1) == 0 ? n_past + i2 : i2);
 
-    float theta = (float)p;
+    float theta = freq_scale * (float)p;
 
     if (!is_neox) {
         for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
diff --git a/ggml.c b/ggml.c
index 3ea8ba6..5ce1da0 100644
--- a/ggml.c
+++ b/ggml.c
@@ -6956,6 +6956,8 @@ struct ggml_tensor * ggml_rope_impl(
         int                   n_past,
         int                   n_dims,
         int                   mode,
+        float                 freq_base,
+        float                 freq_scale,
         int                   n_ctx,
         bool                  inplace) {
     GGML_ASSERT(n_past >= 0);
@@ -6969,12 +6971,14 @@ struct ggml_tensor * ggml_rope_impl(
 
     ggml_scratch_save(ctx);
 
-    struct ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 4);
+    struct ggml_tensor * b = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, 6);
 
     ((int32_t *) b->data)[0] = n_past;
     ((int32_t *) b->data)[1] = n_dims;
     ((int32_t *) b->data)[2] = mode;
     ((int32_t *) b->data)[3] = n_ctx;
+    memcpy((int32_t *) b->data + 4, &freq_base,  sizeof(float));
+    memcpy((int32_t *) b->data + 5, &freq_scale, sizeof(float));
 
     ggml_scratch_load(ctx);
 
@@ -6993,7 +6997,7 @@ struct ggml_tensor * ggml_rope(
         int                   n_dims,
         int                   mode,
         int                   n_ctx) {
-    return ggml_rope_impl(ctx, a, n_past, n_dims, mode, n_ctx, false);
+    return ggml_rope_impl(ctx, a, n_past, n_dims, mode, 10000.0f, 1.0f, n_ctx, false);
 }
 
 struct ggml_tensor * ggml_rope_inplace(
@@ -7003,7 +7007,19 @@ struct ggml_tensor * ggml_rope_inplace(
         int                   n_dims,
         int                   mode,
         int                   n_ctx) {
-    return ggml_rope_impl(ctx, a, n_past, n_dims, mode, n_ctx, true);
+    return ggml_rope_impl(ctx, a, n_past, n_dims, mode, 10000.0f, 1.0f, n_ctx, true);
+}
+
+struct ggml_tensor * ggml_rope_custom_inplace(
+        struct ggml_context * ctx,
+        struct ggml_tensor  * a,
+        int                   n_past,
+        int                   n_dims,
+        int                   mode,
+        float                 freq_base,
+        float                 freq_scale,
+        int                   n_ctx) {
+    return ggml_rope_impl(ctx, a, n_past, n_dims, mode, freq_base, freq_scale, n_ctx, true);
 }
 
 // ggml_rope_back
@@ -12074,16 +12090,21 @@ static void ggml_compute_forward_rope_f32(
         const struct ggml_tensor * src1,
         struct ggml_tensor * dst) {
     GGML_ASSERT(src1->type == GGML_TYPE_I32);
-    GGML_ASSERT(ggml_nelements(src1) == 4);
+    GGML_ASSERT(ggml_nelements(src1) == 6);
 
     if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) {
         return;
     }
 
+    float freq_base;
+    float freq_scale;
+
     const int n_past = ((int32_t *) src1->data)[0];
     const int n_dims = ((int32_t *) src1->data)[1];
     const int mode   = ((int32_t *) src1->data)[2];
     const int n_ctx  = ((int32_t *) src1->data)[3];
+    memcpy(&freq_base,  (int32_t *) src1->data + 4, sizeof(float));
+    memcpy(&freq_scale, (int32_t *) src1->data + 5, sizeof(float));
 
     assert(n_past >= 0);
 
@@ -12112,7 +12133,7 @@ static void ggml_compute_forward_rope_f32(
     // row index used to determine which thread to use
     int ir = 0;
 
-    const float theta_scale = powf(10000.0, -2.0f/n_dims);
+    const float theta_scale = powf(freq_base, -2.0f/n_dims);
 
     const bool is_neox = mode & 2;
     const bool is_glm  = mode & 4;
@@ -12124,7 +12145,7 @@ static void ggml_compute_forward_rope_f32(
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta = (float)p;
+                float theta = freq_scale * (float)p;
 
                 if (is_glm) {
                     theta = MIN(p, n_ctx - 2);
@@ -12201,16 +12222,21 @@ static void ggml_compute_forward_rope_f16(
         const struct ggml_tensor * src1,
         struct ggml_tensor * dst) {
     GGML_ASSERT(src1->type == GGML_TYPE_I32);
-    GGML_ASSERT(ggml_nelements(src1) == 4);
+    GGML_ASSERT(ggml_nelements(src1) == 6);
 
     if (params->type == GGML_TASK_INIT || params->type == GGML_TASK_FINALIZE) {
         return;
     }
 
+    float freq_base;
+    float freq_scale;
+
     const int n_past = ((int32_t *) src1->data)[0];
     const int n_dims = ((int32_t *) src1->data)[1];
     const int mode   = ((int32_t *) src1->data)[2];
     const int n_ctx  = ((int32_t *) src1->data)[3];
+    memcpy(&freq_base,  (int32_t *) src1->data + 4, sizeof(float));
+    memcpy(&freq_scale, (int32_t *) src1->data + 5, sizeof(float));
 
     assert(n_past >= 0);
 
@@ -12239,7 +12265,7 @@ static void ggml_compute_forward_rope_f16(
     // row index used to determine which thread to use
     int ir = 0;
 
-    const float theta_scale = powf(10000.0, -2.0f/n_dims);
+    const float theta_scale = powf(freq_base, -2.0f/n_dims);
 
     const bool is_neox = mode & 2;
     const bool is_glm  = mode & 4;
@@ -12251,7 +12277,7 @@ static void ggml_compute_forward_rope_f16(
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta = (float)p;
+                float theta = freq_scale * (float)p;
 
                 if (is_glm) {
                     theta = MIN(p, n_ctx - 2);
@@ -12312,7 +12338,7 @@ static void ggml_compute_forward_rope_f16(
                             const float x0 = GGML_FP16_TO_FP32(src[0]);
                             const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
 
-                            dst_data[0]     = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
+                            dst_data[0]        = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
                             dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
                         }
                     }
@@ -15710,7 +15736,7 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                 // necessary for llama
                 if (src0->grad) {
                     assert(src1->type == GGML_TYPE_I32);
-                    assert(ggml_nelements(src1) == 4);
+                    assert(ggml_nelements(src1) == 6);
                     const int n_past = ((int32_t *) src1->data)[0];
                     const int n_dims = ((int32_t *) src1->data)[1];
                     const int mode   = ((int32_t *) src1->data)[2];
@@ -15731,7 +15757,7 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
             {
                 if (src0->grad) {
                     assert(src1->type == GGML_TYPE_I32);
-                    assert(ggml_nelements(src1) == 4);
+                    assert(ggml_nelements(src1) == 3);
                     const int n_past = ((int32_t *) src1->data)[0];
                     const int n_dims = ((int32_t *) src1->data)[1];
                     const int mode   = ((int32_t *) src1->data)[2];
diff --git a/ggml.h b/ggml.h
index b88c35b..24856a2 100644
--- a/ggml.h
+++ b/ggml.h
@@ -1121,6 +1121,17 @@ extern "C" {
             int                   mode,
             int                   n_ctx);
 
+    // custom RoPE, in-place, returns view(a)
+    GGML_API struct ggml_tensor * ggml_rope_custom_inplace(
+            struct ggml_context * ctx,
+            struct ggml_tensor  * a,
+            int                   n_past,
+            int                   n_dims,
+            int                   mode,
+            float                 freq_base,
+            float                 freq_scale,
+            int                   n_ctx);
+
     // rotary position embedding backward, i.e compute dx from dy
     // a - dy
     GGML_API struct ggml_tensor * ggml_rope_back(
diff --git a/llama.cpp b/llama.cpp
index b0cd941..27e1ee9 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -101,14 +101,15 @@ static void ggml_graph_compute_helper(std::vector<uint8_t> & buf, ggml_cgraph *
 // memory sizes
 //
 
-static const std::map<e_model, size_t> & MEM_REQ_SCRATCH0()
+static const std::map<e_model, size_t> & MEM_REQ_SCRATCH0(int n_ctx)
 {
     static std::map<e_model, size_t> k_sizes = {
-        { MODEL_3B,    256ull * MB },
-        { MODEL_7B,    512ull * MB },
-        { MODEL_13B,   512ull * MB },
-        { MODEL_30B,   512ull * MB },
-        { MODEL_65B,  1024ull * MB },
+        /* empirical scaling, still a guess */
+        { MODEL_3B,   ((size_t) n_ctx / 16ull + 128ull) * MB },
+        { MODEL_7B,   ((size_t) n_ctx / 16ull + 256ull) * MB },
+        { MODEL_13B,  ((size_t) n_ctx / 12ull + 256ull) * MB },
+        { MODEL_30B,  ((size_t) n_ctx / 10ull + 256ull) * MB },
+        { MODEL_65B,  ((size_t) n_ctx /  8ull + 512ull) * MB },
     };
     return k_sizes;
 }
@@ -140,14 +141,14 @@ static const std::map<e_model, size_t> & MEM_REQ_KV_SELF()
 
 // this is mostly needed for temporary mul_mat buffers to dequantize the data
 // not actually needed if BLAS is disabled
-static const std::map<e_model, size_t> & MEM_REQ_EVAL()
+static const std::map<e_model, size_t> & MEM_REQ_EVAL(int n_ctx)
 {
     static std::map<e_model, size_t> k_sizes = {
-        { MODEL_3B,   512ull * MB },
-        { MODEL_7B,   768ull * MB },
-        { MODEL_13B, 1024ull * MB },
-        { MODEL_30B, 1280ull * MB },
-        { MODEL_65B, 1536ull * MB },
+        { MODEL_3B,  ((size_t) n_ctx / 256ull +  512ull) * MB },
+        { MODEL_7B,  ((size_t) n_ctx / 256ull +  768ull) * MB },
+        { MODEL_13B, ((size_t) n_ctx / 256ull + 1024ull) * MB },
+        { MODEL_30B, ((size_t) n_ctx / 256ull + 1280ull) * MB },
+        { MODEL_65B, ((size_t) n_ctx / 256ull + 1536ull) * MB },
     };
     return k_sizes;
 }
@@ -189,6 +190,10 @@ struct llama_hparams {
     uint32_t n_head  = 32;
     uint32_t n_layer = 32;
     uint32_t n_rot   = 64;
+
+    float rope_freq_base  = 10000.0f;
+    float rope_freq_scale = 1.0f;
+
     enum llama_ftype ftype = LLAMA_FTYPE_MOSTLY_F16;
 
     bool operator!=(const llama_hparams & other) const {
@@ -647,7 +652,7 @@ struct llama_model_loader {
         *ctx_size_p = *mmapped_size_p = 0;
         for (const llama_load_tensor & lt : tensors_map.tensors) {
             *ctx_size_p += sizeof(struct ggml_tensor) + GGML_OBJECT_SIZE;
-            *(use_mmap ? mmapped_size_p : ctx_size_p) += lt.size;
+            *(use_mmap ? mmapped_size_p : ctx_size_p) += lt.size + 16;
         }
     }
 
@@ -843,6 +848,8 @@ struct llama_context_params llama_context_default_params() {
         /*.gpu_layers                  =*/ 0,
         /*.main_gpu                    =*/ 0,
         /*.tensor_split                =*/ {0},
+        /*.rope_freq_base              =*/ 10000.0f,
+        /*.rope_freq_scale             =*/ 1.0f,
         /*.progress_callback           =*/ nullptr,
         /*.progress_callback_user_data =*/ nullptr,
         /*.low_vram                    =*/ false,
@@ -966,6 +973,8 @@ static void llama_model_load_internal(
         int n_gpu_layers,
         int main_gpu,
         const float * tensor_split,
+        float rope_freq_base,
+        float rope_freq_scale,
         bool low_vram,
         ggml_type memory_type,
         bool use_mmap,
@@ -1000,22 +1009,27 @@ static void llama_model_load_internal(
         }
 
         hparams.n_ctx = n_ctx;
+
+        hparams.rope_freq_base  = rope_freq_base;
+        hparams.rope_freq_scale = rope_freq_scale;
     }
 
     const uint32_t n_ff = ((2*(4*hparams.n_embd)/3 + hparams.n_mult - 1)/hparams.n_mult)*hparams.n_mult;
 
     {
-        fprintf(stderr, "%s: format     = %s\n",  __func__, llama_file_version_name(file_version));
-        fprintf(stderr, "%s: n_vocab    = %u\n",  __func__, hparams.n_vocab);
-        fprintf(stderr, "%s: n_ctx      = %u\n",  __func__, hparams.n_ctx);
-        fprintf(stderr, "%s: n_embd     = %u\n",  __func__, hparams.n_embd);
-        fprintf(stderr, "%s: n_mult     = %u\n",  __func__, hparams.n_mult);
-        fprintf(stderr, "%s: n_head     = %u\n",  __func__, hparams.n_head);
-        fprintf(stderr, "%s: n_layer    = %u\n",  __func__, hparams.n_layer);
-        fprintf(stderr, "%s: n_rot      = %u\n",  __func__, hparams.n_rot);
+        fprintf(stderr, "%s: format     = %s\n",   __func__, llama_file_version_name(file_version));
+        fprintf(stderr, "%s: n_vocab    = %u\n",   __func__, hparams.n_vocab);
+        fprintf(stderr, "%s: n_ctx      = %u\n",   __func__, hparams.n_ctx);
+        fprintf(stderr, "%s: n_embd     = %u\n",   __func__, hparams.n_embd);
+        fprintf(stderr, "%s: n_mult     = %u\n",   __func__, hparams.n_mult);
+        fprintf(stderr, "%s: n_head     = %u\n",   __func__, hparams.n_head);
+        fprintf(stderr, "%s: n_layer    = %u\n",   __func__, hparams.n_layer);
+        fprintf(stderr, "%s: n_rot      = %u\n",   __func__, hparams.n_rot);
+        fprintf(stderr, "%s: freq_base  = %.1f\n", __func__, hparams.rope_freq_base);
+        fprintf(stderr, "%s: freq_scale = %g\n",   __func__, hparams.rope_freq_scale);
         fprintf(stderr, "%s: ftype      = %u (%s)\n", __func__, hparams.ftype, llama_ftype_name(hparams.ftype));
-        fprintf(stderr, "%s: n_ff       = %u\n",  __func__, n_ff);
-        fprintf(stderr, "%s: model size = %s\n",  __func__, llama_model_type_name(model.type));
+        fprintf(stderr, "%s: n_ff       = %u\n",   __func__, n_ff);
+        fprintf(stderr, "%s: model size = %s\n",   __func__, llama_model_type_name(model.type));
     }
 
     if (file_version < LLAMA_FILE_VERSION_GGJT_V2) {
@@ -1164,9 +1178,9 @@ static void llama_model_load_internal(
         const size_t mem_required =
             ctx_size +
             mmapped_size - vram_weights + // weights in VRAM not in memory
-            MEM_REQ_SCRATCH0().at(model.type) +
+            MEM_REQ_SCRATCH0(hparams.n_ctx).at(model.type) +
             MEM_REQ_SCRATCH1().at(model.type) +
-            MEM_REQ_EVAL().at    (model.type);
+            MEM_REQ_EVAL(hparams.n_ctx).at(model.type);
 
         // this is the memory required by one llama_state
         const size_t mem_required_state =
@@ -1270,6 +1284,8 @@ static bool llama_model_load(
         int n_gpu_layers,
         int main_gpu,
         float * tensor_split,
+        float rope_freq_base,
+        float rope_freq_scale,
         bool low_vram,
         ggml_type memory_type,
         bool use_mmap,
@@ -1278,7 +1294,7 @@ static bool llama_model_load(
         llama_progress_callback progress_callback,
         void *progress_callback_user_data) {
     try {
-        llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gpu_layers, main_gpu, tensor_split, low_vram, memory_type,
+        llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gpu_layers, main_gpu, tensor_split, rope_freq_base, rope_freq_scale, low_vram, memory_type,
                                   use_mmap, use_mlock, vocab_only, progress_callback, progress_callback_user_data);
         return true;
     } catch (const std::exception & err) {
@@ -1330,6 +1346,9 @@ static bool llama_eval_internal(
     const int n_rot        = hparams.n_embd/hparams.n_head;
     const int n_gpu_layers = model.n_gpu_layers;
 
+    const float freq_base  = hparams.rope_freq_base;
+    const float freq_scale = hparams.rope_freq_scale;
+
     auto & mem_per_token = lctx.mem_per_token;
     auto & buf_compute   = lctx.buf_compute;
 
@@ -1427,11 +1446,11 @@ static bool llama_eval_internal(
             offload_func_kq(tmpq);
             ggml_set_name(tmpq, "tmpq");
 
-            struct ggml_tensor * Kcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, tmpk, n_embd/n_head, n_head, N), n_past, n_rot, 0, 0);
+            struct ggml_tensor * Kcur = ggml_rope_custom_inplace(ctx0, ggml_reshape_3d(ctx0, tmpk, n_embd/n_head, n_head, N), n_past, n_rot, 0, freq_base, freq_scale, 0);
             offload_func_kq(Kcur);
             ggml_set_name(Kcur, "Kcur");
 
-            struct ggml_tensor * Qcur = ggml_rope_inplace(ctx0, ggml_reshape_3d(ctx0, tmpq, n_embd/n_head, n_head, N), n_past, n_rot, 0, 0);
+            struct ggml_tensor * Qcur = ggml_rope_custom_inplace(ctx0, ggml_reshape_3d(ctx0, tmpq, n_embd/n_head, n_head, N), n_past, n_rot, 0, freq_base, freq_scale, 0);
             offload_func_kq(Qcur);
             ggml_set_name(Qcur, "Qcur");
 
@@ -2674,8 +2693,9 @@ struct llama_model * llama_load_model_from_file(
     ggml_type memory_type = params.f16_kv ? GGML_TYPE_F16 : GGML_TYPE_F32;
 
     if (!llama_model_load(path_model, *model, model->vocab, params.n_ctx, params.n_batch, params.n_gpu_layers,
-                params.main_gpu, params.tensor_split, params.low_vram, memory_type, params.use_mmap, params.use_mlock,
-                params.vocab_only, params.progress_callback, params.progress_callback_user_data)) {
+                params.main_gpu, params.tensor_split, params.rope_freq_base, params.rope_freq_scale,params.low_vram,
+                memory_type, params.use_mmap, params.use_mlock, params.vocab_only, params.progress_callback,
+                params.progress_callback_user_data)) {
         delete model;
         fprintf(stderr, "%s: failed to load model\n", __func__);
         return nullptr;
@@ -2750,9 +2770,9 @@ struct llama_context * llama_new_context_with_model(
             ctx->embedding.resize(hparams.n_embd);
         }
 
-        ctx->buf_compute.resize(MEM_REQ_EVAL().at(ctx->model.type));
+        ctx->buf_compute.resize(MEM_REQ_EVAL(hparams.n_ctx).at(ctx->model.type));
 
-        ctx->buf_scratch[0].resize(MEM_REQ_SCRATCH0().at(ctx->model.type));
+        ctx->buf_scratch[0].resize(MEM_REQ_SCRATCH0(hparams.n_ctx).at(ctx->model.type));
         ctx->buf_scratch[1].resize(MEM_REQ_SCRATCH1().at(ctx->model.type));
     }
 
diff --git a/llama.h b/llama.h
index e7c60f4..e744584 100644
--- a/llama.h
+++ b/llama.h
@@ -89,6 +89,11 @@ extern "C" {
         int32_t  n_gpu_layers;                 // number of layers to store in VRAM
         int32_t  main_gpu;                     // the GPU that is used for scratch and small tensors
         float tensor_split[LLAMA_MAX_DEVICES]; // how to split layers across multiple GPUs
+
+        // ref: https://github.com/ggerganov/llama.cpp/pull/2054
+        float    rope_freq_base;  // RoPE base frequency
+        float    rope_freq_scale; // RoPE frequency scaling factor
+
         // called with a progress value between 0 and 1, pass NULL to disable
         llama_progress_callback progress_callback;
         // context pointer passed to the progress callback
-- 
cgit v1.2.3


From b1f429095328a34556c0e9a7a2fefced3db3368c Mon Sep 17 00:00:00 2001
From: wzy <32936898+Freed-Wu@users.noreply.github.com>
Date: Wed, 19 Jul 2023 15:01:11 +0800
Subject: cmake : install targets (#2256)

fix #2252
---
 CMakeLists.txt                                  | 25 +++++++++++++++++++++++++
 convert-lora-to-ggml.py                         |  1 +
 convert.py                                      |  1 +
 examples/baby-llama/CMakeLists.txt              |  1 +
 examples/benchmark/CMakeLists.txt               |  1 +
 examples/embd-input/CMakeLists.txt              |  2 ++
 examples/embedding/CMakeLists.txt               |  1 +
 examples/main/CMakeLists.txt                    |  1 +
 examples/metal/CMakeLists.txt                   |  1 +
 examples/perplexity/CMakeLists.txt              |  1 +
 examples/quantize-stats/CMakeLists.txt          |  1 +
 examples/quantize/CMakeLists.txt                |  1 +
 examples/save-load-state/CMakeLists.txt         |  1 +
 examples/server/CMakeLists.txt                  |  1 +
 examples/simple/CMakeLists.txt                  |  1 +
 examples/train-text-from-scratch/CMakeLists.txt |  1 +
 tests/CMakeLists.txt                            |  1 +
 17 files changed, 42 insertions(+)
 mode change 100644 => 100755 convert-lora-to-ggml.py
 mode change 100644 => 100755 convert.py

(limited to 'examples/server')

diff --git a/CMakeLists.txt b/CMakeLists.txt
index d9381da..abc9681 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -512,6 +512,7 @@ if (BUILD_SHARED_LIBS)
     set_target_properties(ggml PROPERTIES POSITION_INDEPENDENT_CODE ON)
     add_library(ggml_shared SHARED $<TARGET_OBJECTS:ggml>)
     target_link_libraries(ggml_shared PUBLIC Threads::Threads ${LLAMA_EXTRA_LIBS})
+    install(TARGETS ggml_shared LIBRARY)
 endif()
 
 add_library(llama
@@ -533,8 +534,32 @@ if (BUILD_SHARED_LIBS)
     if (LLAMA_METAL)
         set_target_properties(llama PROPERTIES RESOURCE "${CMAKE_CURRENT_SOURCE_DIR}/ggml-metal.metal")
     endif()
+    install(TARGETS llama LIBRARY)
 endif()
 
+include(GNUInstallDirs)
+install(
+    FILES convert.py
+    PERMISSIONS
+        OWNER_READ
+        OWNER_WRITE
+        OWNER_EXECUTE
+        GROUP_READ
+        GROUP_EXECUTE
+        WORLD_READ
+        WORLD_EXECUTE
+    DESTINATION ${CMAKE_INSTALL_BINDIR})
+install(
+    FILES convert-lora-to-ggml.py
+    PERMISSIONS
+        OWNER_READ
+        OWNER_WRITE
+        OWNER_EXECUTE
+        GROUP_READ
+        GROUP_EXECUTE
+        WORLD_READ
+        WORLD_EXECUTE
+    DESTINATION ${CMAKE_INSTALL_BINDIR})
 
 #
 # programs, examples and tests
diff --git a/convert-lora-to-ggml.py b/convert-lora-to-ggml.py
old mode 100644
new mode 100755
index f43c836..b4999ff
--- a/convert-lora-to-ggml.py
+++ b/convert-lora-to-ggml.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 import json
 import os
 import re
diff --git a/convert.py b/convert.py
old mode 100644
new mode 100755
index 7a2705e..e3f1096
--- a/convert.py
+++ b/convert.py
@@ -1,3 +1,4 @@
+#!/usr/bin/env python
 import argparse
 import concurrent.futures
 import copy
diff --git a/examples/baby-llama/CMakeLists.txt b/examples/baby-llama/CMakeLists.txt
index d2ce363..7b70227 100644
--- a/examples/baby-llama/CMakeLists.txt
+++ b/examples/baby-llama/CMakeLists.txt
@@ -1,4 +1,5 @@
 set(TARGET baby-llama)
 add_executable(${TARGET} baby-llama.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/benchmark/CMakeLists.txt b/examples/benchmark/CMakeLists.txt
index 0376961..3f34153 100644
--- a/examples/benchmark/CMakeLists.txt
+++ b/examples/benchmark/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET benchmark)
 add_executable(${TARGET} benchmark-matmult.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/embd-input/CMakeLists.txt b/examples/embd-input/CMakeLists.txt
index 2b62395..5bbb1ea 100644
--- a/examples/embd-input/CMakeLists.txt
+++ b/examples/embd-input/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET embdinput)
 add_library(${TARGET} embd-input-lib.cpp embd-input.h)
+install(TARGETS ${TARGET} LIBRARY)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
@@ -8,6 +9,7 @@ endif()
 
 set(TARGET embd-input-test)
 add_executable(${TARGET} embd-input-test.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama embdinput ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/embedding/CMakeLists.txt b/examples/embedding/CMakeLists.txt
index db73b6b..0c752c7 100644
--- a/examples/embedding/CMakeLists.txt
+++ b/examples/embedding/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET embedding)
 add_executable(${TARGET} embedding.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/main/CMakeLists.txt b/examples/main/CMakeLists.txt
index c364242..cc18889 100644
--- a/examples/main/CMakeLists.txt
+++ b/examples/main/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET main)
 add_executable(${TARGET} main.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/metal/CMakeLists.txt b/examples/metal/CMakeLists.txt
index a8c4284..f16d491 100644
--- a/examples/metal/CMakeLists.txt
+++ b/examples/metal/CMakeLists.txt
@@ -1,3 +1,4 @@
 set(TEST_TARGET metal)
 add_executable(${TEST_TARGET} metal.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TEST_TARGET} PRIVATE ggml)
diff --git a/examples/perplexity/CMakeLists.txt b/examples/perplexity/CMakeLists.txt
index 61b17b8..af00b4e 100644
--- a/examples/perplexity/CMakeLists.txt
+++ b/examples/perplexity/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET perplexity)
 add_executable(${TARGET} perplexity.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/quantize-stats/CMakeLists.txt b/examples/quantize-stats/CMakeLists.txt
index 7bebc11..c5c3940 100644
--- a/examples/quantize-stats/CMakeLists.txt
+++ b/examples/quantize-stats/CMakeLists.txt
@@ -1,4 +1,5 @@
 set(TARGET quantize-stats)
 add_executable(${TARGET} quantize-stats.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/quantize/CMakeLists.txt b/examples/quantize/CMakeLists.txt
index 475fc8b..47d0be7 100644
--- a/examples/quantize/CMakeLists.txt
+++ b/examples/quantize/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET quantize)
 add_executable(${TARGET} quantize.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/save-load-state/CMakeLists.txt b/examples/save-load-state/CMakeLists.txt
index 08dbe5c..eadd13c 100644
--- a/examples/save-load-state/CMakeLists.txt
+++ b/examples/save-load-state/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET save-load-state)
 add_executable(${TARGET} save-load-state.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/server/CMakeLists.txt b/examples/server/CMakeLists.txt
index 07ba76a..812a24b 100644
--- a/examples/server/CMakeLists.txt
+++ b/examples/server/CMakeLists.txt
@@ -2,6 +2,7 @@ set(TARGET server)
 option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
 include_directories(${CMAKE_CURRENT_SOURCE_DIR})
 add_executable(${TARGET} server.cpp json.hpp httplib.h)
+install(TARGETS ${TARGET} RUNTIME)
 target_compile_definitions(${TARGET} PRIVATE
     SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
 )
diff --git a/examples/simple/CMakeLists.txt b/examples/simple/CMakeLists.txt
index 1568f73..0ac9cb0 100644
--- a/examples/simple/CMakeLists.txt
+++ b/examples/simple/CMakeLists.txt
@@ -1,5 +1,6 @@
 set(TARGET simple)
 add_executable(${TARGET} simple.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
diff --git a/examples/train-text-from-scratch/CMakeLists.txt b/examples/train-text-from-scratch/CMakeLists.txt
index 1a44c49..4459516 100644
--- a/examples/train-text-from-scratch/CMakeLists.txt
+++ b/examples/train-text-from-scratch/CMakeLists.txt
@@ -1,4 +1,5 @@
 set(TARGET train-text-from-scratch)
 add_executable(${TARGET} train-text-from-scratch.cpp)
+install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 1acf050..11ec6c7 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -1,6 +1,7 @@
 function(llama_add_test source)
     get_filename_component(TEST_TARGET ${source} NAME_WE)
     add_executable(${TEST_TARGET} ${source})
+    install(TARGETS ${TEST_TARGET} RUNTIME)
     target_link_libraries(${TEST_TARGET} PRIVATE llama)
     add_test(NAME ${TEST_TARGET} COMMAND $<TARGET_FILE:${TEST_TARGET}> ${ARGN})
 endfunction()
-- 
cgit v1.2.3


From 9cf022a1889e50113fd348dc96b4557fc75a6296 Mon Sep 17 00:00:00 2001
From: Przemysław Pawełczyk <przemoc@gmail.com>
Date: Fri, 21 Jul 2023 09:42:21 +0200
Subject: make : fix embdinput library and server examples building on MSYS2
 (#2235)

* make : fix embdinput library and server examples building on MSYS2

* cmake : fix server example building on MSYS2
---
 Makefile                       | 34 ++++++++++++++++++++++++++++------
 examples/server/CMakeLists.txt |  3 +++
 2 files changed, 31 insertions(+), 6 deletions(-)

(limited to 'examples/server')

diff --git a/Makefile b/Makefile
index 6c74e13..cff4d97 100644
--- a/Makefile
+++ b/Makefile
@@ -1,5 +1,5 @@
 # Define the default target now so that it is always the first target
-BUILD_TARGETS = main quantize quantize-stats perplexity embedding vdot train-text-from-scratch simple server libembdinput.so embd-input-test
+BUILD_TARGETS = main quantize quantize-stats perplexity embedding vdot train-text-from-scratch simple server embd-input-test
 
 default: $(BUILD_TARGETS)
 
@@ -90,6 +90,28 @@ ifeq ($(UNAME_S),Haiku)
 	CXXFLAGS += -pthread
 endif
 
+# detect Windows
+ifneq ($(findstring _NT,$(UNAME_S)),)
+	_WIN32 := 1
+endif
+
+# library name prefix
+ifneq ($(_WIN32),1)
+	LIB_PRE := lib
+endif
+
+# Dynamic Shared Object extension
+ifneq ($(_WIN32),1)
+	DSO_EXT := .so
+else
+	DSO_EXT := .dll
+endif
+
+# Windows Sockets 2 (Winsock) for network-capable apps
+ifeq ($(_WIN32),1)
+	LWINSOCK2 := -lws2_32
+endif
+
 ifdef LLAMA_GPROF
 	CFLAGS   += -pg
 	CXXFLAGS += -pg
@@ -294,7 +316,7 @@ libllama.so: llama.o ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -shared -fPIC -o $@ $^ $(LDFLAGS)
 
 clean:
-	rm -vf *.o *.so main quantize quantize-stats perplexity embedding benchmark-matmult save-load-state server simple vdot train-text-from-scratch embd-input-test build-info.h
+	rm -vf *.o *.so *.dll main quantize quantize-stats perplexity embedding benchmark-matmult save-load-state server simple vdot train-text-from-scratch embd-input-test build-info.h
 
 #
 # Examples
@@ -325,14 +347,14 @@ save-load-state: examples/save-load-state/save-load-state.cpp build-info.h ggml.
 	$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
 
 server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp build-info.h ggml.o llama.o common.o $(OBJS)
-	$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS)
+	$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) $(LWINSOCK2)
 
-libembdinput.so: examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS)
+$(LIB_PRE)embdinput$(DSO_EXT): examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) --shared $(CXXFLAGS) $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS)
 
 
-embd-input-test: libembdinput.so examples/embd-input/embd-input-test.cpp build-info.h ggml.o llama.o common.o $(OBJS)
-	$(CXX) $(CXXFLAGS) $(filter-out %.so,$(filter-out %.h,$(filter-out %.hpp,$^))) -o $@ $(LDFLAGS) -L. -lembdinput
+embd-input-test: $(LIB_PRE)embdinput$(DSO_EXT) examples/embd-input/embd-input-test.cpp build-info.h ggml.o llama.o common.o $(OBJS)
+	$(CXX) $(CXXFLAGS) $(filter-out %$(DSO_EXT),$(filter-out %.h,$(filter-out %.hpp,$^))) -o $@ $(LDFLAGS) -L. -lembdinput
 
 train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp    build-info.h ggml.o llama.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
diff --git a/examples/server/CMakeLists.txt b/examples/server/CMakeLists.txt
index 812a24b..3782f9b 100644
--- a/examples/server/CMakeLists.txt
+++ b/examples/server/CMakeLists.txt
@@ -7,6 +7,9 @@ target_compile_definitions(${TARGET} PRIVATE
     SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
 )
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+if (WIN32)
+    TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32)
+endif()
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
   add_dependencies(${TARGET} BUILD_INFO)
-- 
cgit v1.2.3


From 4f06592cc6b83979e4b442e8cb97b3948c857188 Mon Sep 17 00:00:00 2001
From: IgnacioFDM <ignaciofdm@gmail.com>
Date: Sun, 23 Jul 2023 17:31:17 -0300
Subject: Add gqa parameter support to the server (#2351)

* Add gqa parameter support to the server
* Change help from stderr to stdout
---
 examples/server/server.cpp | 82 ++++++++++++++++++++++++++--------------------
 1 file changed, 47 insertions(+), 35 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index f442f2b..4ad0ba9 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -601,47 +601,48 @@ struct llama_server_context
 static void server_print_usage(const char *argv0, const gpt_params &params,
                                const server_params &sparams)
 {
-    fprintf(stderr, "usage: %s [options]\n", argv0);
-    fprintf(stderr, "\n");
-    fprintf(stderr, "options:\n");
-    fprintf(stderr, "  -h, --help            show this help message and exit\n");
-    fprintf(stderr, "  -v, --verbose         verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
-    fprintf(stderr, "  -t N, --threads N     number of threads to use during computation (default: %d)\n", params.n_threads);
-    fprintf(stderr, "  -c N, --ctx-size N    size of the prompt context (default: %d)\n", params.n_ctx);
-    fprintf(stderr, "  --rope-freq-base N    RoPE base frequency (default: %.1f)\n", params.rope_freq_base);
-    fprintf(stderr, "  --rope-freq-scale N   RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale);
-    fprintf(stderr, "  -b N, --batch-size N  batch size for prompt processing (default: %d)\n", params.n_batch);
-    fprintf(stderr, "  --memory-f32          use f32 instead of f16 for memory key+value (default: disabled)\n");
-    fprintf(stderr, "                        not recommended: doubles context memory required and no measurable increase in quality\n");
+    fprintf(stdout, "usage: %s [options]\n", argv0);
+    fprintf(stdout, "\n");
+    fprintf(stdout, "options:\n");
+    fprintf(stdout, "  -h, --help            show this help message and exit\n");
+    fprintf(stdout, "  -v, --verbose         verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
+    fprintf(stdout, "  -t N, --threads N     number of threads to use during computation (default: %d)\n", params.n_threads);
+    fprintf(stdout, "  -c N, --ctx-size N    size of the prompt context (default: %d)\n", params.n_ctx);
+    fprintf(stdout, "  -gqa N, --gqa N       grouped-query attention factor (TEMP!!! use 8 for LLaMAv2 70B) (default: %d)\n", params.n_gqa);
+    fprintf(stdout, "  --rope-freq-base N    RoPE base frequency (default: %.1f)\n", params.rope_freq_base);
+    fprintf(stdout, "  --rope-freq-scale N   RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale);
+    fprintf(stdout, "  -b N, --batch-size N  batch size for prompt processing (default: %d)\n", params.n_batch);
+    fprintf(stdout, "  --memory-f32          use f32 instead of f16 for memory key+value (default: disabled)\n");
+    fprintf(stdout, "                        not recommended: doubles context memory required and no measurable increase in quality\n");
     if (llama_mlock_supported())
     {
-        fprintf(stderr, "  --mlock               force system to keep model in RAM rather than swapping or compressing\n");
+        fprintf(stdout, "  --mlock               force system to keep model in RAM rather than swapping or compressing\n");
     }
     if (llama_mmap_supported())
     {
-        fprintf(stderr, "  --no-mmap             do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
+        fprintf(stdout, "  --no-mmap             do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
     }
 #ifdef LLAMA_SUPPORTS_GPU_OFFLOAD
-    fprintf(stderr, "  -ngl N, --n-gpu-layers N\n");
-    fprintf(stderr, "                        number of layers to store in VRAM\n");
-    fprintf(stderr, "  -ts SPLIT --tensor-split SPLIT\n");
-    fprintf(stderr, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
-    fprintf(stderr, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
-    fprintf(stderr, "  -mg i, --main-gpu i   the GPU to use for scratch and small tensors\n");
-    fprintf(stderr, "  -lv, --low-vram don't allocate VRAM scratch buffer\n");
+    fprintf(stdout, "  -ngl N, --n-gpu-layers N\n");
+    fprintf(stdout, "                        number of layers to store in VRAM\n");
+    fprintf(stdout, "  -ts SPLIT --tensor-split SPLIT\n");
+    fprintf(stdout, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
+    fprintf(stdout, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
+    fprintf(stdout, "  -mg i, --main-gpu i   the GPU to use for scratch and small tensors\n");
+    fprintf(stdout, "  -lv, --low-vram don't allocate VRAM scratch buffer\n");
 #endif
-    fprintf(stderr, "  -m FNAME, --model FNAME\n");
-    fprintf(stderr, "                        model path (default: %s)\n", params.model.c_str());
-    fprintf(stderr, "  -a ALIAS, --alias ALIAS\n");
-    fprintf(stderr, "                        set an alias for the model, will be added as `model` field in completion response\n");
-    fprintf(stderr, "  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
-    fprintf(stderr, "  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
-    fprintf(stderr, "  --host                ip address to listen (default  (default: %s)\n", sparams.hostname.c_str());
-    fprintf(stderr, "  --port PORT           port to listen (default  (default: %d)\n", sparams.port);
-    fprintf(stderr, "  --path PUBLIC_PATH    path from which to serve static files (default %s)\n", sparams.public_path.c_str());
-    fprintf(stderr, "  -to N, --timeout N    server read/write timeout in seconds (default: %d)\n", sparams.read_timeout);
-    fprintf(stderr, "  --embedding           enable embedding vector output (default: %s)\n", params.embedding ? "enabled" : "disabled");
-    fprintf(stderr, "\n");
+    fprintf(stdout, "  -m FNAME, --model FNAME\n");
+    fprintf(stdout, "                        model path (default: %s)\n", params.model.c_str());
+    fprintf(stdout, "  -a ALIAS, --alias ALIAS\n");
+    fprintf(stdout, "                        set an alias for the model, will be added as `model` field in completion response\n");
+    fprintf(stdout, "  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
+    fprintf(stdout, "  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
+    fprintf(stdout, "  --host                ip address to listen (default  (default: %s)\n", sparams.hostname.c_str());
+    fprintf(stdout, "  --port PORT           port to listen (default  (default: %d)\n", sparams.port);
+    fprintf(stdout, "  --path PUBLIC_PATH    path from which to serve static files (default %s)\n", sparams.public_path.c_str());
+    fprintf(stdout, "  -to N, --timeout N    server read/write timeout in seconds (default: %d)\n", sparams.read_timeout);
+    fprintf(stdout, "  --embedding           enable embedding vector output (default: %s)\n", params.embedding ? "enabled" : "disabled");
+    fprintf(stdout, "\n");
 }
 
 static void server_params_parse(int argc, char **argv, server_params &sparams,
@@ -724,9 +725,19 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
             }
             params.n_ctx = std::stoi(argv[i]);
         }
+        else if (arg == "-gqa" || arg == "--gqa")
+        {
+            if (++i >= argc)
+            {
+                invalid_param = true;
+                break;
+            }
+            params.n_gqa = std::stoi(argv[i]);
+        }
         else if (arg == "--rope-freq-base")
         {
-            if (++i >= argc) {
+            if (++i >= argc)
+            {
                 invalid_param = true;
                 break;
             }
@@ -734,7 +745,8 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
         }
         else if (arg == "--rope-freq-scale")
         {
-            if (++i >= argc) {
+            if (++i >= argc)
+            {
                 invalid_param = true;
                 break;
             }
-- 
cgit v1.2.3


From b3f138d05849ccbce67303ac17b50ebbc268128a Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Mon, 24 Jul 2023 17:54:22 +0300
Subject: Chat UI extras (#2366)

* makefile: correct deps for server

* server: tighten settings layout a little

* server: expose all currently configured generation params in UI

* server: expose remaining generation params, for the adventurous

* server: embetter mirostat fields
---
 Makefile                          |    2 +-
 examples/server/index.html.hpp    | 1078 +++++++++++++++++++++++--------------
 examples/server/public/index.html |  122 ++++-
 3 files changed, 757 insertions(+), 445 deletions(-)

(limited to 'examples/server')

diff --git a/Makefile b/Makefile
index f529a7f..fb7c27c 100644
--- a/Makefile
+++ b/Makefile
@@ -360,7 +360,7 @@ embedding: examples/embedding/embedding.cpp                   build-info.h ggml.
 save-load-state: examples/save-load-state/save-load-state.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
 
-server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp build-info.h ggml.o llama.o common.o $(OBJS)
+server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) $(LWINSOCK2)
 
 $(LIB_PRE)embdinput$(DSO_EXT): examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS)
diff --git a/examples/server/index.html.hpp b/examples/server/index.html.hpp
index 42707fa..0769170 100644
--- a/examples/server/index.html.hpp
+++ b/examples/server/index.html.hpp
@@ -111,103 +111,176 @@ unsigned char index_html[] = {
   0x20, 0x20, 0x20, 0x70, 0x61, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x3a, 0x20,
   0x30, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x6d, 0x61, 0x72,
   0x67, 0x69, 0x6e, 0x3a, 0x20, 0x30, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20,
-  0x7d, 0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x74, 0x65, 0x78, 0x74, 0x61,
-  0x72, 0x65, 0x61, 0x20, 0x7b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
-  0x70, 0x61, 0x64, 0x64, 0x69, 0x6e, 0x67, 0x3a, 0x20, 0x35, 0x70, 0x78,
-  0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x66, 0x6c, 0x65, 0x78,
-  0x2d, 0x67, 0x72, 0x6f, 0x77, 0x3a, 0x20, 0x31, 0x3b, 0x0a, 0x20, 0x20,
-  0x20, 0x20, 0x20, 0x20, 0x77, 0x69, 0x64, 0x74, 0x68, 0x3a, 0x20, 0x31,
-  0x30, 0x30, 0x25, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x7d, 0x0a, 0x0a,
-  0x20, 0x20, 0x20, 0x20, 0x70, 0x72, 0x65, 0x20, 0x63, 0x6f, 0x64, 0x65,
-  0x20, 0x7b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x64, 0x69, 0x73,
-  0x70, 0x6c, 0x61, 0x79, 0x3a, 0x20, 0x62, 0x6c, 0x6f, 0x63, 0x6b, 0x3b,
-  0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x62, 0x61, 0x63, 0x6b, 0x67,
-  0x72, 0x6f, 0x75, 0x6e, 0x64, 0x2d, 0x63, 0x6f, 0x6c, 0x6f, 0x72, 0x3a,
-  0x20, 0x23, 0x32, 0x32, 0x32, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20,
-  0x20, 0x63, 0x6f, 0x6c, 0x6f, 0x72, 0x3a, 0x20, 0x23, 0x64, 0x64, 0x64,
-  0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x7d, 0x0a, 0x20, 0x20, 0x20, 0x20,
-  0x63, 0x6f, 0x64, 0x65, 0x20, 0x7b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20,
-  0x20, 0x66, 0x6f, 0x6e, 0x74, 0x2d, 0x66, 0x61, 0x6d, 0x69, 0x6c, 0x79,
-  0x3a, 0x20, 0x6d, 0x6f, 0x6e, 0x6f, 0x73, 0x70, 0x61, 0x63, 0x65, 0x3b,
-  0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x70, 0x61, 0x64, 0x64, 0x69,
-  0x6e, 0x67, 0x3a, 0x20, 0x30, 0x2e, 0x31, 0x65, 0x6d, 0x20, 0x30, 0x2e,
-  0x33, 0x65, 0x6d, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x62,
-  0x6f, 0x72, 0x64, 0x65, 0x72, 0x2d, 0x72, 0x61, 0x64, 0x69, 0x75, 0x73,
-  0x3a, 0x20, 0x33, 0x70, 0x78, 0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x7d,
-  0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x66, 0x69, 0x65, 0x6c, 0x64, 0x73,
-  0x65, 0x74, 0x20, 0x6c, 0x61, 0x62, 0x65, 0x6c, 0x20, 0x7b, 0x0a, 0x20,
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-  0x20, 0x30, 0x2e, 0x35, 0x65, 0x6d, 0x20, 0x30, 0x3b, 0x0a, 0x20, 0x20,
+  0x7d, 0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x66, 0x69, 0x65, 0x6c, 0x64,
+  0x73, 0x65, 0x74, 0x2e, 0x74, 0x77, 0x6f, 0x20, 0x7b, 0x0a, 0x20, 0x20,
   0x20, 0x20, 0x20, 0x20, 0x64, 0x69, 0x73, 0x70, 0x6c, 0x61, 0x79, 0x3a,
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+  0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
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+  0x70, 0x70, 0x22, 0x3e, 0x6c, 0x6c, 0x61, 0x6d, 0x61, 0x2e, 0x63, 0x70,
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+  0x67, 0x67, 0x6d, 0x6c, 0x2e, 0x61, 0x69, 0x3c, 0x2f, 0x61, 0x3e, 0x2e,
+  0x3c, 0x2f, 0x70, 0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
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+  0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x3c, 0x2f, 0x64,
+  0x69, 0x76, 0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x60, 0x3b,
+  0x0a, 0x20, 0x20, 0x20, 0x20, 0x7d, 0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20,
+  0x72, 0x65, 0x6e, 0x64, 0x65, 0x72, 0x28, 0x68, 0x28, 0x41, 0x70, 0x70,
+  0x29, 0x2c, 0x20, 0x64, 0x6f, 0x63, 0x75, 0x6d, 0x65, 0x6e, 0x74, 0x2e,
+  0x62, 0x6f, 0x64, 0x79, 0x29, 0x3b, 0x0a, 0x20, 0x20, 0x3c, 0x2f, 0x73,
+  0x63, 0x72, 0x69, 0x70, 0x74, 0x3e, 0x0a, 0x3c, 0x2f, 0x68, 0x65, 0x61,
+  0x64, 0x3e, 0x0a, 0x0a, 0x3c, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x3c,
+  0x2f, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x0a, 0x3c, 0x2f, 0x68, 0x74,
+  0x6d, 0x6c, 0x3e, 0x0a
 };
-unsigned int index_html_len = 10752;
+unsigned int index_html_len = 13696;
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index 8ace0b0..f5ed2d4 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -73,6 +73,37 @@
       margin: 0;
     }
 
+    fieldset.two {
+      display: grid;
+      grid-template: "a a";
+      gap: 1em;
+    }
+
+    fieldset.three {
+      display: grid;
+      grid-template: "a a a";
+      gap: 1em;
+    }
+
+    details {
+      border: 1px solid #aaa;
+      border-radius: 4px;
+      padding: 0.5em 0.5em 0;
+      margin-top: 0.5em;
+    }
+
+    summary {
+      font-weight: bold;
+      margin: -0.5em -0.5em 0;
+      padding: 0.5em;
+      cursor: pointer;
+    }
+
+    details[open] {
+      padding: 0.5em;
+    }
+
+
     textarea {
       padding: 5px;
       flex-grow: 1;
@@ -125,10 +156,17 @@
     const params = signal({
       n_predict: 400,
       temperature: 0.7,
-      repeat_last_n: 256,
-      repeat_penalty: 1.18,
-      top_k: 40,
-      top_p: 0.5,
+      repeat_last_n: 256, // 0 = disable penalty, -1 = context size
+      repeat_penalty: 1.18, // 1.0 = disabled
+      top_k: 40, // <= 0 to use vocab size
+      top_p: 0.5, // 1.0 = disabled
+      tfs_z: 1.0, // 1.0 = disabled
+      typical_p: 1.0, // 1.0 = disabled
+      presence_penalty: 0.0, // 0.0 = disabled
+      frequency_penalty: 0.0, // 0.0 = disabled
+      mirostat: 0, // 0/1/2
+      mirostat_tau: 5, // target entropy
+      mirostat_eta: 0.1, // learning rate
     })
 
     const llamaStats = signal(null)
@@ -264,6 +302,27 @@
       const updateSession = (el) => session.value = { ...session.value, [el.target.name]: el.target.value }
       const updateParams = (el) => params.value = { ...params.value, [el.target.name]: el.target.value }
       const updateParamsFloat = (el) => params.value = { ...params.value, [el.target.name]: parseFloat(el.target.value) }
+      const updateParamsInt = (el) => params.value = { ...params.value, [el.target.name]: Math.floor(parseFloat(el.target.value)) }
+
+      const FloatField = ({label, max, min, name, step, value}) => {
+        return html`
+          <div>
+            <label for="${name}">${label}</label>
+            <input type="range" id="${name}" min="${min}" max="${max}" step="${step}" name="${name}" value="${value}" oninput=${updateParamsFloat} />
+            <span>${value}</span>
+          </div>
+        `
+      };
+
+      const IntField = ({label, max, min, name, value}) => {
+        return html`
+          <div>
+            <label for="${name}">${label}</label>
+            <input type="range" id="${name}" min="${min}" max="${max}" name="${name}" value="${value}" oninput=${updateParamsInt} />
+            <span>${value}</span>
+          </div>
+        `
+      };
 
       return html`
         <form>
@@ -272,7 +331,9 @@
               <label for="prompt">Prompt</label>
               <textarea type="text" name="prompt" value="${session.value.prompt}" rows=4 oninput=${updateSession}/>
             </div>
+          </fieldset>
 
+          <fieldset class="two">
             <div>
               <label for="user">User name</label>
               <input type="text" name="user" value="${session.value.user}" oninput=${updateSession} />
@@ -282,7 +343,9 @@
               <label for="bot">Bot name</label>
               <input type="text" name="char" value="${session.value.char}" oninput=${updateSession} />
             </div>
+          </fieldset>
 
+          <fieldset>
             <div>
               <label for="template">Prompt template</label>
               <textarea id="template" name="template" value="${session.value.template}" rows=4 oninput=${updateSession}/>
@@ -292,32 +355,35 @@
               <label for="template">Chat history template</label>
               <textarea id="template" name="historyTemplate" value="${session.value.historyTemplate}" rows=1 oninput=${updateSession}/>
             </div>
+          </fieldset>
 
-            <div>
-              <label for="temperature">Temperature</label>
-              <input type="range" id="temperature" min="0.0" max="1.0" step="0.01" name="temperature" value="${params.value.temperature}" oninput=${updateParamsFloat} />
-              <span>${params.value.temperature}</span>
-            </div>
-
-            <div>
-              <label for="nPredict">Predictions</label>
-              <input type="range" id="nPredict" min="1" max="2048" step="1" name="n_predict" value="${params.value.n_predict}" oninput=${updateParamsFloat} />
-              <span>${params.value.n_predict}</span>
-            </div>
-
-            <div>
-              <label for="repeat_penalty">Penalize repeat sequence</label>
-              <input type="range" id="repeat_penalty" min="0.0" max="2.0" step="0.01" name="repeat_penalty" value="${params.value.repeat_penalty}" oninput=${updateParamsFloat} />
-              <span>${params.value.repeat_penalty}</span>
-            </div>
-
-            <div>
-              <label for="repeat_last_n">Consider N tokens for penalize</label>
-              <input type="range" id="repeat_last_n" min="0.0" max="2048" name="repeat_last_n" value="${params.value.repeat_last_n}" oninput=${updateParamsFloat} />
-              <span>${params.value.repeat_last_n}</span>
-            </div>
-
+          <fieldset class="two">
+            ${IntField({label: "Predictions", max: 2048, min: -1, name: "n_predict", value: params.value.n_predict})}
+            ${FloatField({label: "Temperature", max: 1.5, min: 0.0, name: "temperature", step: 0.01, value: params.value.temperature})}
+            ${FloatField({label: "Penalize repeat sequence", max: 2.0, min: 0.0, name: "repeat_penalty", step: 0.01, value: params.value.repeat_penalty})}
+            ${IntField({label: "Consider N tokens for penalize", max: 2048, min: 0, name: "repeat_last_n", value: params.value.repeat_last_n})}
+            ${IntField({label: "Top-K sampling", max: 100, min: -1, name: "top_k", value: params.value.top_k})}
+            ${FloatField({label: "Top-P sampling", max: 1.0, min: 0.0, name: "top_p", step: 0.01, value: params.value.top_p})}
           </fieldset>
+          <details>
+            <summary>More options</summary>
+            <fieldset class="two">
+              ${FloatField({label: "TFS-Z", max: 1.0, min: 0.0, name: "tfs_z", step: 0.01, value: params.value.tfs_z})}
+              ${FloatField({label: "Typical P", max: 1.0, min: 0.0, name: "typical_p", step: 0.01, value: params.value.typical_p})}
+              ${FloatField({label: "Presence penalty", max: 1.0, min: 0.0, name: "presence_penalty", step: 0.01, value: params.value.presence_penalty})}
+              ${FloatField({label: "Frequency penalty", max: 1.0, min: 0.0, name: "frequency_penalty", step: 0.01, value: params.value.frequency_penalty})}
+            </fieldset>
+            <hr />
+            <fieldset class="three">
+              <div>
+                <label><input type="radio" name="mirostat" value="0" checked=${params.value.mirostat == 0} oninput=${updateParamsInt} /> no Mirostat</label>
+                <label><input type="radio" name="mirostat" value="1" checked=${params.value.mirostat == 1} oninput=${updateParamsInt} /> Mirostat v1</label>
+                <label><input type="radio" name="mirostat" value="2" checked=${params.value.mirostat == 2} oninput=${updateParamsInt} /> Mirostat v2</label>
+              </div>
+              ${FloatField({label: "Mirostat tau", max: 10.0, min: 0.0, name: "mirostat_tau", step: 0.01, value: params.value.mirostat_tau})}
+              ${FloatField({label: "Mirostat eta", max: 1.0, min: 0.0, name: "mirostat_eta", step: 0.01, value: params.value.mirostat_eta})}
+            </fieldset>
+          </details>
         </form>
       `
     }
-- 
cgit v1.2.3


From c798308e3a425eae050a1f249a576fa8c6433327 Mon Sep 17 00:00:00 2001
From: Henri Vasserman <henv@hot.ee>
Date: Tue, 25 Jul 2023 10:27:34 +0300
Subject: [Server] Escape HTML in webchat (#2368)

* escape HTML in webchat
* add amp
---
 examples/server/index.html.hpp    | 246 ++++++++++++++++++++------------------
 examples/server/public/index.html |   3 +
 2 files changed, 130 insertions(+), 119 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/index.html.hpp b/examples/server/index.html.hpp
index 0769170..1b21d4d 100644
--- a/examples/server/index.html.hpp
+++ b/examples/server/index.html.hpp
@@ -1017,129 +1017,137 @@ unsigned char index_html[] = {
   0x20, 0x20, 0x20, 0x20, 0x20, 0x63, 0x6f, 0x6e, 0x73, 0x74, 0x20, 0x6d,
   0x64, 0x20, 0x3d, 0x20, 0x70, 0x61, 0x72, 0x61, 0x6d, 0x73, 0x2e, 0x74,
   0x65, 0x78, 0x74, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
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-  0x7b, 0x31, 0x2c, 0x36, 0x7d, 0x20, 0x28, 0x2e, 0x2a, 0x29, 0x24, 0x2f,
-  0x67, 0x69, 0x6d, 0x2c, 0x20, 0x27, 0x3c, 0x68, 0x33, 0x3e, 0x24, 0x31,
-  0x3c, 0x2f, 0x68, 0x33, 0x3e, 0x27, 0x29, 0x0a, 0x20, 0x20, 0x20, 0x20,
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+  0x2e, 0x72, 0x65, 0x70, 0x6c, 0x61, 0x63, 0x65, 0x28, 0x2f, 0x26, 0x2f,
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+  0x72, 0x65, 0x66, 0x3d, 0x22, 0x68, 0x74, 0x74, 0x70, 0x73, 0x3a, 0x2f,
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+  0x6d, 0x6c, 0x2e, 0x61, 0x69, 0x3c, 0x2f, 0x61, 0x3e, 0x2e, 0x3c, 0x2f,
+  0x70, 0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
+  0x20, 0x3c, 0x2f, 0x66, 0x6f, 0x6f, 0x74, 0x65, 0x72, 0x3e, 0x0a, 0x20,
+  0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x3c, 0x2f, 0x64, 0x69, 0x76,
+  0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x60, 0x3b, 0x0a, 0x20,
+  0x20, 0x20, 0x20, 0x7d, 0x0a, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x72, 0x65,
+  0x6e, 0x64, 0x65, 0x72, 0x28, 0x68, 0x28, 0x41, 0x70, 0x70, 0x29, 0x2c,
+  0x20, 0x64, 0x6f, 0x63, 0x75, 0x6d, 0x65, 0x6e, 0x74, 0x2e, 0x62, 0x6f,
+  0x64, 0x79, 0x29, 0x3b, 0x0a, 0x20, 0x20, 0x3c, 0x2f, 0x73, 0x63, 0x72,
+  0x69, 0x70, 0x74, 0x3e, 0x0a, 0x3c, 0x2f, 0x68, 0x65, 0x61, 0x64, 0x3e,
+  0x0a, 0x0a, 0x3c, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x3c, 0x2f, 0x62,
+  0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x0a, 0x3c, 0x2f, 0x68, 0x74, 0x6d, 0x6c,
+  0x3e, 0x0a
 };
-unsigned int index_html_len = 13696;
+unsigned int index_html_len = 13790;
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index f5ed2d4..ea93de4 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -390,6 +390,9 @@
     // poor mans markdown replacement
     const Markdownish = (params) => {
       const md = params.text
+        .replace(/&/g, '&amp;')
+        .replace(/</g, '&lt;')
+        .replace(/>/g, '&gt;')
         .replace(/^#{1,6} (.*)$/gim, '<h3>$1</h3>')
         .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
         .replace(/__(.*?)__/g, '<strong>$1</strong>')
-- 
cgit v1.2.3


From d5512b782b27ff698007dcd175da18959d5f163f Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Tue, 25 Jul 2023 11:36:17 +0200
Subject: server: add rms_norm_eps parameter (#2380)

---
 examples/server/server.cpp | 9 +++++++++
 1 file changed, 9 insertions(+)

(limited to 'examples/server')

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 4ad0ba9..83c0306 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -609,6 +609,7 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
     fprintf(stdout, "  -t N, --threads N     number of threads to use during computation (default: %d)\n", params.n_threads);
     fprintf(stdout, "  -c N, --ctx-size N    size of the prompt context (default: %d)\n", params.n_ctx);
     fprintf(stdout, "  -gqa N, --gqa N       grouped-query attention factor (TEMP!!! use 8 for LLaMAv2 70B) (default: %d)\n", params.n_gqa);
+    fprintf(stdout, "  -eps N, --rms-norm-eps N rms norm eps (TEMP!!! use 1e-5 for LLaMAv2) (default: %.1e)\n", params.rms_norm_eps);
     fprintf(stdout, "  --rope-freq-base N    RoPE base frequency (default: %.1f)\n", params.rope_freq_base);
     fprintf(stdout, "  --rope-freq-scale N   RoPE frequency scaling factor (default: %g)\n", params.rope_freq_scale);
     fprintf(stdout, "  -b N, --batch-size N  batch size for prompt processing (default: %d)\n", params.n_batch);
@@ -734,6 +735,14 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
             }
             params.n_gqa = std::stoi(argv[i]);
         }
+        else if (arg == "-eps" || arg == "--rms-norm-eps") {
+            if (++i >= argc)
+            {
+                invalid_param = true;
+                break;
+            }
+            params.rms_norm_eps = std::stof(argv[i]);
+        }
         else if (arg == "--rope-freq-base")
         {
             if (++i >= argc)
-- 
cgit v1.2.3


From 34ae1caf7fdea4c4c09087002e15e6230102e6a9 Mon Sep 17 00:00:00 2001
From: nhamanasu <45545786+nhamanasu@users.noreply.github.com>
Date: Sat, 29 Jul 2023 03:02:10 +0900
Subject: examples : server chat mode with llama2 (#2400)

* add: server chat mode with llama2

* fix: remove the unnecessary last \n
---
 examples/server-llama2-13B.sh  |  26 ++++++++++
 examples/server/chat-llama2.sh | 109 +++++++++++++++++++++++++++++++++++++++++
 2 files changed, 135 insertions(+)
 create mode 100644 examples/server-llama2-13B.sh
 create mode 100644 examples/server/chat-llama2.sh

(limited to 'examples/server')

diff --git a/examples/server-llama2-13B.sh b/examples/server-llama2-13B.sh
new file mode 100644
index 0000000..d7f3698
--- /dev/null
+++ b/examples/server-llama2-13B.sh
@@ -0,0 +1,26 @@
+#!/bin/bash
+
+set -e
+
+cd "$(dirname "$0")/.." || exit
+
+# Specify the model you want to use here:
+MODEL="${MODEL:-./models/llama-2-13b-chat.ggmlv3.q5_K_M.bin}"
+PROMPT_TEMPLATE=${PROMPT_TEMPLATE:-./prompts/chat-system.txt}
+
+# Adjust to the number of CPU cores you want to use.
+N_THREAD="${N_THREAD:-12}"
+
+# Note: you can also override the generation options by specifying them on the command line:
+GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 4096 --batch-size 1024}"
+
+
+# shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
+./server $GEN_OPTIONS \
+  --model "$MODEL" \
+  --threads "$N_THREAD" \
+  --rope-freq-scale 1.0 \
+  "$@"
+  
+  # I used this to test the model with mps, but omitted it from the general purpose. If you want to use it, just specify it on the command line.
+  # -ngl 1 \ 
diff --git a/examples/server/chat-llama2.sh b/examples/server/chat-llama2.sh
new file mode 100644
index 0000000..1fc79b7
--- /dev/null
+++ b/examples/server/chat-llama2.sh
@@ -0,0 +1,109 @@
+#!/bin/bash
+
+API_URL="${API_URL:-http://127.0.0.1:8080}"
+
+CHAT=(
+    "Hello, Assistant."
+    "Hello. How may I help you today?"
+)
+
+INSTRUCTION="A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."
+
+trim() {
+    shopt -s extglob
+    set -- "${1##+([[:space:]])}"
+    printf "%s" "${1%%+([[:space:]])}"
+}
+
+trim_trailing() {
+    shopt -s extglob
+    printf "%s" "${1%%+([[:space:]])}"
+}
+
+format_prompt() {
+    if [[ "${#CHAT[@]}" -eq 0 ]]; then
+        echo -n "[INST] <<SYS>>\n${INSTRUCTION}\n<</SYS>>"
+    else
+        LAST_INDEX=$(( ${#CHAT[@]} - 1 ))
+        echo -n "${CHAT[$LAST_INDEX]}\n[INST] $1 [/INST]"
+    fi
+}
+
+tokenize() {
+    curl \
+        --silent \
+        --request POST \
+        --url "${API_URL}/tokenize" \
+        --header "Content-Type: application/json" \
+        --data-raw "$(jq -ns --arg content "$1" '{content:$content}')" \
+    | jq '.tokens[]'
+}
+
+N_KEEP=$(tokenize "[INST] <<SYS>>\n${INSTRUCTION}\n<</SYS>>" | wc -l)
+
+chat_completion() {
+    PROMPT="$(trim_trailing "$(format_prompt "$1")")"
+    DATA="$(echo -n "$PROMPT" | jq -Rs --argjson n_keep $N_KEEP '{
+        prompt: .,
+        temperature: 0.2,
+        top_k: 40,
+        top_p: 0.9,
+        n_keep: $n_keep,
+        n_predict: 1024,
+        stop: ["[INST]"],
+        stream: true
+    }')"
+
+    # Create a temporary file to hold the Python output
+    TEMPFILE=$(mktemp)
+
+    exec 3< <(curl \
+        --silent \
+        --no-buffer \
+        --request POST \
+        --url "${API_URL}/completion" \
+        --header "Content-Type: application/json" \
+        --data-raw "${DATA}")
+
+    python -c "
+import json
+import sys
+
+answer = ''
+while True:
+    line = sys.stdin.readline()
+    if not line:
+        break
+    if line.startswith('data: '):
+        json_content = line[6:].strip()
+        content = json.loads(json_content)['content']
+        sys.stdout.write(content)
+        sys.stdout.flush()
+        answer += content
+
+answer = answer.rstrip('\n')
+
+# Write the answer to the temporary file
+with open('$TEMPFILE', 'w') as f:
+    f.write(answer)
+    " <&3
+
+    exec 3<&-
+
+    # Read the answer from the temporary file
+    ANSWER=$(cat $TEMPFILE)
+
+    # Clean up the temporary file
+    rm $TEMPFILE
+
+    printf "\n"
+
+    CHAT+=("$1" "$(trim "$ANSWER")")
+}
+
+while true; do
+    echo -en "\033[0;32m"  # Green color
+    read -r -e -p "> " QUESTION
+    echo -en "\033[0m"  # Reset color
+    chat_completion "${QUESTION}"
+done
-- 
cgit v1.2.3


From 0728c5a8b9569183ffca0399caac099afef87595 Mon Sep 17 00:00:00 2001
From: Johannes Gäßler <johannesg@5d6.de>
Date: Mon, 31 Jul 2023 15:44:35 +0200
Subject: CUDA: mmq CLI option, fixed mmq build issues (#2453)

---
 CMakeLists.txt             | 16 ++++++++++------
 Makefile                   |  6 +++---
 README.md                  |  4 +++-
 examples/common.cpp        | 16 +++++++++++++---
 examples/common.h          |  1 +
 examples/server/server.cpp | 15 +++++++++++++--
 ggml-cuda.cu               | 24 ++++++++++++++----------
 ggml-cuda.h                |  1 +
 llama.cpp                  | 10 ++++++++--
 llama.h                    |  1 +
 10 files changed, 67 insertions(+), 27 deletions(-)

(limited to 'examples/server')

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 57678a3..4ecb3d5 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -68,7 +68,7 @@ option(LLAMA_ACCELERATE                      "llama: enable Accelerate framework
 option(LLAMA_BLAS                            "llama: use BLAS"                                  OFF)
 set(LLAMA_BLAS_VENDOR "Generic" CACHE STRING "llama: BLAS library vendor")
 option(LLAMA_CUBLAS                          "llama: use CUDA"                                  OFF)
-option(LLAMA_CUDA_CUBLAS                     "llama: use cuBLAS for prompt processing"          OFF)
+#option(LLAMA_CUDA_CUBLAS                     "llama: use cuBLAS for prompt processing"          OFF)
 set(LLAMA_CUDA_MMQ_Y       "64" CACHE STRING "llama: y tile size for mmq CUDA kernels")
 option(LLAMA_CUDA_FORCE_DMMV                 "llama: use dmmv instead of mmvq CUDA kernels"     OFF)
 set(LLAMA_CUDA_DMMV_X      "32" CACHE STRING "llama: x stride for dmmv CUDA kernels")
@@ -253,9 +253,9 @@ if (LLAMA_CUBLAS)
         set(GGML_SOURCES_CUDA ggml-cuda.cu ggml-cuda.h)
 
         add_compile_definitions(GGML_USE_CUBLAS)
-        if (LLAMA_CUDA_CUBLAS)
-            add_compile_definitions(GGML_CUDA_CUBLAS)
-        endif()
+#        if (LLAMA_CUDA_CUBLAS)
+#            add_compile_definitions(GGML_CUDA_CUBLAS)
+#        endif()
         add_compile_definitions(GGML_CUDA_MMQ_Y=${LLAMA_CUDA_MMQ_Y})
         if (LLAMA_CUDA_FORCE_DMMV)
             add_compile_definitions(GGML_CUDA_FORCE_DMMV)
@@ -277,10 +277,14 @@ if (LLAMA_CUBLAS)
         endif()
 
     if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
+        # 52 == lowest CUDA 12 standard
+        # 60 == f16 CUDA intrinsics
+        # 61 == integer CUDA intrinsics
+        # 70 == (assumed) compute capability at which unrolling a loop in mul_mat_q kernels is faster
         if (LLAMA_CUDA_DMMV_F16)
-            set(CMAKE_CUDA_ARCHITECTURES "60;61") # needed for f16 CUDA intrinsics
+            set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics
         else()
-            set(CMAKE_CUDA_ARCHITECTURES "52;61") # lowest CUDA 12 standard + lowest for integer intrinsics
+            set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
         endif()
     endif()
     message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
diff --git a/Makefile b/Makefile
index 616c2d9..ebeadfd 100644
--- a/Makefile
+++ b/Makefile
@@ -236,9 +236,9 @@ ifdef LLAMA_CUDA_MMQ_Y
 else
 	NVCCFLAGS += -DGGML_CUDA_MMQ_Y=64
 endif # LLAMA_CUDA_MMQ_Y
-ifdef LLAMA_CUDA_CUBLAS
-	NVCCFLAGS += -DGGML_CUDA_CUBLAS
-endif # LLAMA_CUDA_CUBLAS
+#ifdef LLAMA_CUDA_CUBLAS
+#	NVCCFLAGS += -DGGML_CUDA_CUBLAS
+#endif # LLAMA_CUDA_CUBLAS
 ifdef LLAMA_CUDA_CCBIN
 	NVCCFLAGS += -ccbin $(LLAMA_CUDA_CCBIN)
 endif
diff --git a/README.md b/README.md
index 42fc42b..b231d24 100644
--- a/README.md
+++ b/README.md
@@ -400,9 +400,11 @@ Building the program with BLAS support may lead to some performance improvements
 
   The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars) can be used to specify which GPU(s) will be used. The following compilation options are also available to tweak performance:
 
+<!---
+  | LLAMA_CUDA_CUBLAS       | Boolean                |   false | Use cuBLAS instead of custom CUDA kernels for prompt processing. Faster for all quantization formats except for q4_0 and q8_0, especially for k-quants. Increases VRAM usage (700 MiB for 7b, 970 MiB for 13b, 1430 MiB for 33b). |
+--->
   | Option                  | Legal values           | Default | Description |
   |-------------------------|------------------------|---------|-------------|
-  | LLAMA_CUDA_CUBLAS       | Boolean                |   false | Use cuBLAS instead of custom CUDA kernels for prompt processing. Faster for all quantization formats except for q4_0 and q8_0, especially for k-quants. Increases VRAM usage (700 MiB for 7b, 970 MiB for 13b, 1430 MiB for 33b). |
   | LLAMA_CUDA_MMQ_Y        | Positive integer >= 32 |      64 | Tile size in y direction when using the custom CUDA kernels for prompt processing. Higher values can be faster depending on the amount of shared memory available. Power of 2 heavily recommended. |
   | LLAMA_CUDA_FORCE_DMMV   | Boolean                |   false | Force the use of dequantization + matrix vector multiplication kernels instead of using kernels that do matrix vector multiplication on quantized data. By default the decision is made based on compute capability (MMVQ for 6.1/Pascal/GTX 1000 or higher). Does not affect k-quants. |
   | LLAMA_CUDA_DMMV_X       | Positive integer >= 32 |      32 | Number of values in x direction processed by the CUDA dequantization + matrix vector multiplication kernel per iteration. Increasing this value can improve performance on fast GPUs. Power of 2 heavily recommended. Does not affect k-quants. |
diff --git a/examples/common.cpp b/examples/common.cpp
index fe7308b..e643984 100644
--- a/examples/common.cpp
+++ b/examples/common.cpp
@@ -352,7 +352,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
 #ifdef GGML_USE_CUBLAS
             params.main_gpu = std::stoi(argv[i]);
 #else
-      fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.\n");
+            fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a main GPU.\n");
 #endif
         } else if (arg == "--tensor-split" || arg == "-ts") {
             if (++i >= argc) {
@@ -376,13 +376,19 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
                 }
             }
 #else
-      fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n");
+            fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n");
+#endif // GGML_USE_CUBLAS
+        } else if (arg == "--mul-mat-q" || arg == "-mmq") {
+#ifdef GGML_USE_CUBLAS
+            params.mul_mat_q = true;
+#else
+            fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to use mul_mat_q kernels.\n");
 #endif // GGML_USE_CUBLAS
         } else if (arg == "--low-vram" || arg == "-lv") {
 #ifdef GGML_USE_CUBLAS
             params.low_vram = true;
 #else
-      fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n");
+            fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n");
 #endif // GGML_USE_CUBLAS
         } else if (arg == "--no-mmap") {
             params.use_mmap = false;
@@ -585,6 +591,9 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     fprintf(stdout, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
     fprintf(stdout, "  -mg i, --main-gpu i   the GPU to use for scratch and small tensors\n" );
     fprintf(stdout, "  -lv, --low-vram       don't allocate VRAM scratch buffer\n" );
+    fprintf(stdout, "  -mmq, --mul-mat-q     use experimental mul_mat_q CUDA kernels instead of cuBLAS. TEMP!!!\n" );
+    fprintf(stdout, "                        Reduces VRAM usage by 700/970/1430 MiB for 7b/13b/33b but prompt processing speed\n" );
+    fprintf(stdout, "                        is still suboptimal, especially q2_K, q3_K, q5_K, and q6_K.\n" );
 #endif
     fprintf(stdout, "  --mtest               compute maximum memory usage\n");
     fprintf(stdout, "  --export              export the computation graph to 'llama.ggml'\n");
@@ -637,6 +646,7 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
     lparams.main_gpu        = params.main_gpu;
     lparams.tensor_split    = params.tensor_split;
     lparams.low_vram        = params.low_vram;
+    lparams.mul_mat_q       = params.mul_mat_q;
     lparams.seed            = params.seed;
     lparams.f16_kv          = params.memory_f16;
     lparams.use_mmap        = params.use_mmap;
diff --git a/examples/common.h b/examples/common.h
index 1184f32..9744842 100644
--- a/examples/common.h
+++ b/examples/common.h
@@ -74,6 +74,7 @@ struct gpt_params {
     size_t hellaswag_tasks = 400;   // number of tasks to use when computing the HellaSwag score
 
     bool low_vram          = false; // if true, reduce VRAM usage at the cost of performance
+    bool mul_mat_q         = false; // if true, use experimental mul_mat_q kernels
     bool memory_f16        = true;  // use f16 instead of f32 for memory kv
     bool random_prompt     = false; // do not randomize prompt if none provided
     bool use_color         = false; // use color to distinguish generations and inputs
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 83c0306..c072508 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -631,6 +631,9 @@ static void server_print_usage(const char *argv0, const gpt_params &params,
     fprintf(stdout, "                        how to split tensors across multiple GPUs, comma-separated list of proportions, e.g. 3,1\n");
     fprintf(stdout, "  -mg i, --main-gpu i   the GPU to use for scratch and small tensors\n");
     fprintf(stdout, "  -lv, --low-vram don't allocate VRAM scratch buffer\n");
+    fprintf(stdout, "  -mmq, --mul-mat-q     use experimental mul_mat_q CUDA kernels instead of cuBLAS. TEMP!!!\n" );
+    fprintf(stdout, "                        Reduces VRAM usage by 700/970/1430 MiB for 7b/13b/33b but prompt processing speed\n" );
+    fprintf(stdout, "                        is still suboptimal, especially q2_K, q3_K, q5_K, and q6_K.\n" );
 #endif
     fprintf(stdout, "  -m FNAME, --model FNAME\n");
     fprintf(stdout, "                        model path (default: %s)\n", params.model.c_str());
@@ -827,7 +830,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
                 }
             }
 #else
-            LOG_WARNING("llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.", {});
+            LOG_WARNING("llama.cpp was compiled without cuBLAS. It is not possible to set a tensor split.\n", {});
 #endif // GGML_USE_CUBLAS
         }
         else if (arg == "--low-vram" || arg == "-lv")
@@ -835,7 +838,15 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
 #ifdef GGML_USE_CUBLAS
             params.low_vram = true;
 #else
-            fprintf(stderr, "warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n");
+            LOG_WARNING("warning: llama.cpp was compiled without cuBLAS. It is not possible to set lower vram usage.\n", {});
+#endif // GGML_USE_CUBLAS
+        }
+        else if (arg == "--mul-mat-q" || arg == "-mmq")
+        {
+#ifdef GGML_USE_CUBLAS
+            params.mul_mat_q = true;
+#else
+            LOG_WARNING("warning: llama.cpp was compiled without cuBLAS. It is not possible to use mul_mat_q kernels.\n", {});
 #endif // GGML_USE_CUBLAS
         }
         else if (arg == "--main-gpu" || arg == "-mg")
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index bcdff36..f11fbe5 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -3898,10 +3898,9 @@ static size_t g_scratch_offset = 0;
 
 static int g_device_count = -1;
 static int g_main_device = 0;
-#ifndef GGML_CUDA_FORCE_DMMV
 static int g_compute_capabilities[GGML_CUDA_MAX_DEVICES];
-#endif
 static float g_tensor_split[GGML_CUDA_MAX_DEVICES] = {0};
+static bool g_mul_mat_q = false;
 
 static cublasHandle_t g_cublas_handles[GGML_CUDA_MAX_DEVICES] = {nullptr};
 
@@ -3923,9 +3922,7 @@ void ggml_init_cublas() {
             g_tensor_split[id] = total_vram;
             total_vram += prop.totalGlobalMem;
 
-#ifndef GGML_CUDA_FORCE_DMMV
             g_compute_capabilities[id] = 100*prop.major + 10*prop.minor;
-#endif
         }
         for (int id = 0; id < g_device_count; ++id) {
             g_tensor_split[id] /= total_vram;
@@ -4278,6 +4275,7 @@ inline void ggml_cuda_op_mul_mat_vec(
 
 #ifdef GGML_CUDA_FORCE_DMMV
     const bool use_mul_mat_vec_q = false;
+    (void) g_compute_capabilities[0];
 #else
     int id;
     CUDA_CHECK(cudaGetDevice(&id));
@@ -5021,12 +5019,14 @@ void ggml_cuda_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_
         if (src1->ne[1] == 1 && src0->ne[0] % GGML_CUDA_DMMV_X == 0) {
             ggml_cuda_op(src0, src1, dst, ggml_cuda_op_mul_mat_vec, false, false);
         } else {
-#ifdef GGML_CUDA_CUBLAS
-            const bool use_mul_mat_q = false;
-#else
-            const bool use_mul_mat_q = ggml_is_quantized(src0->type);
-#endif // GGML_CUDA_CUBLAS
-            if (use_mul_mat_q) {
+            int min_compute_capability = INT_MAX;
+            for (int id = 0; id < g_device_count; ++id) {
+                if (min_compute_capability > g_compute_capabilities[id]) {
+                    min_compute_capability = g_compute_capabilities[id];
+                }
+            }
+
+            if (g_mul_mat_q && ggml_is_quantized(src0->type) && min_compute_capability >= MIN_CC_DP4A) {
                 ggml_cuda_op(src0, src1, dst, ggml_cuda_op_mul_mat_q, false, false);
             } else {
                 ggml_cuda_op(src0, src1, dst, ggml_cuda_op_mul_mat_cublas, true, false);
@@ -5320,6 +5320,10 @@ void ggml_cuda_set_main_device(int main_device) {
     }
 }
 
+void ggml_cuda_set_mul_mat_q(bool mul_mat_q) {
+    g_mul_mat_q = mul_mat_q;
+}
+
 void ggml_cuda_set_scratch_size(size_t scratch_size) {
     g_scratch_size = scratch_size;
 }
diff --git a/ggml-cuda.h b/ggml-cuda.h
index 3c1e8de..72d7afa 100644
--- a/ggml-cuda.h
+++ b/ggml-cuda.h
@@ -27,6 +27,7 @@ void   ggml_cuda_assign_buffers(struct ggml_tensor * tensor);
 void   ggml_cuda_assign_buffers_no_scratch(struct ggml_tensor * tensor);
 void   ggml_cuda_assign_buffers_force_inplace(struct ggml_tensor * tensor);
 void   ggml_cuda_set_main_device(int main_device);
+void   ggml_cuda_set_mul_mat_q(bool mul_mat_q);
 void   ggml_cuda_set_scratch_size(size_t scratch_size);
 void   ggml_cuda_free_scratch(void);
 bool   ggml_cuda_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor);
diff --git a/llama.cpp b/llama.cpp
index 50da427..d427054 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -901,6 +901,7 @@ struct llama_context_params llama_context_default_params() {
         /*.progress_callback           =*/ nullptr,
         /*.progress_callback_user_data =*/ nullptr,
         /*.low_vram                    =*/ false,
+        /*.mul_mat_q                   =*/ false,
         /*.f16_kv                      =*/ true,
         /*.logits_all                  =*/ false,
         /*.vocab_only                  =*/ false,
@@ -1028,6 +1029,7 @@ static void llama_model_load_internal(
         int n_gpu_layers,
         int main_gpu,
         const float * tensor_split,
+        const bool mul_mat_q,
         float rope_freq_base,
         float rope_freq_scale,
         bool low_vram,
@@ -1156,9 +1158,11 @@ static void llama_model_load_internal(
     }
 
     (void) main_gpu;
+    (void) mul_mat_q;
 #if defined(GGML_USE_CUBLAS)
     fprintf(stderr, "%s: using CUDA for GPU acceleration\n", __func__);
     ggml_cuda_set_main_device(main_gpu);
+    ggml_cuda_set_mul_mat_q(mul_mat_q);
 #define LLAMA_BACKEND_OFFLOAD       GGML_BACKEND_GPU
 #define LLAMA_BACKEND_OFFLOAD_SPLIT GGML_BACKEND_GPU_SPLIT
 #elif defined(GGML_USE_CLBLAST)
@@ -1367,6 +1371,7 @@ static bool llama_model_load(
         int n_gpu_layers,
         int main_gpu,
         const float * tensor_split,
+        const bool mul_mat_q,
         float rope_freq_base,
         float rope_freq_scale,
         bool low_vram,
@@ -1377,7 +1382,8 @@ static bool llama_model_load(
         llama_progress_callback progress_callback,
         void *progress_callback_user_data) {
     try {
-        llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gqa, rms_norm_eps, n_gpu_layers, main_gpu, tensor_split, rope_freq_base, rope_freq_scale, low_vram, memory_type,
+        llama_model_load_internal(fname, model, vocab, n_ctx, n_batch, n_gqa, rms_norm_eps, n_gpu_layers,
+                                  main_gpu, tensor_split, mul_mat_q, rope_freq_base, rope_freq_scale, low_vram, memory_type,
                                   use_mmap, use_mlock, vocab_only, progress_callback, progress_callback_user_data);
         return true;
     } catch (const std::exception & err) {
@@ -3192,7 +3198,7 @@ struct llama_model * llama_load_model_from_file(
     ggml_type memory_type = params.f16_kv ? GGML_TYPE_F16 : GGML_TYPE_F32;
 
     if (!llama_model_load(path_model, *model, model->vocab, params.n_ctx, params.n_batch, params.n_gqa, params.rms_norm_eps, params.n_gpu_layers,
-                params.main_gpu, params.tensor_split, params.rope_freq_base, params.rope_freq_scale,params.low_vram,
+                params.main_gpu, params.tensor_split, params.mul_mat_q, params.rope_freq_base, params.rope_freq_scale,params.low_vram,
                 memory_type, params.use_mmap, params.use_mlock, params.vocab_only, params.progress_callback,
                 params.progress_callback_user_data)) {
         delete model;
diff --git a/llama.h b/llama.h
index df46f9b..fa1977f 100644
--- a/llama.h
+++ b/llama.h
@@ -108,6 +108,7 @@ extern "C" {
 
         // Keep the booleans together to avoid misalignment during copy-by-value.
         bool low_vram;   // if true, reduce VRAM usage at the cost of performance
+        bool mul_mat_q;  // if true, use experimental mul_mat_q kernels
         bool f16_kv;     // use fp16 for KV cache
         bool logits_all; // the llama_eval() call computes all logits, not just the last one
         bool vocab_only; // only load the vocabulary, no weights
-- 
cgit v1.2.3


From 86aeb27734481751592abd85590020b40d9224c8 Mon Sep 17 00:00:00 2001
From: ebraminio <ebraminio@gmail.com>
Date: Tue, 1 Aug 2023 01:56:23 -0700
Subject: server : Support dark mode (#2414)

* server : Support dark mode

So it respects user system light / dark settings.

* Update index.html.hpp by running ./deps.sh
---
 examples/server/index.html.hpp    | 2126 ++++++++++++++++++-------------------
 examples/server/public/index.html |    3 +-
 2 files changed, 1064 insertions(+), 1065 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/index.html.hpp b/examples/server/index.html.hpp
index 1b21d4d..5bca2a8 100644
--- a/examples/server/index.html.hpp
+++ b/examples/server/index.html.hpp
@@ -10,1144 +10,1144 @@ unsigned char index_html[] = {
   0x74, 0x69, 0x61, 0x6c, 0x2d, 0x73, 0x63, 0x61, 0x6c, 0x65, 0x3d, 0x31,
   0x2c, 0x20, 0x6d, 0x61, 0x78, 0x69, 0x6d, 0x75, 0x6d, 0x2d, 0x73, 0x63,
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+  0x6f, 0x64, 0x79, 0x29, 0x3b, 0x0a, 0x20, 0x20, 0x3c, 0x2f, 0x73, 0x63,
+  0x72, 0x69, 0x70, 0x74, 0x3e, 0x0a, 0x3c, 0x2f, 0x68, 0x65, 0x61, 0x64,
+  0x3e, 0x0a, 0x0a, 0x3c, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x3c, 0x2f,
+  0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x0a, 0x3c, 0x2f, 0x68, 0x74, 0x6d,
+  0x6c, 0x3e, 0x0a
 };
-unsigned int index_html_len = 13790;
+unsigned int index_html_len = 13791;
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index ea93de4..1db69a6 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -3,12 +3,11 @@
 <head>
   <meta charset="UTF-8">
   <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
+  <meta name="color-scheme" content="light dark">
   <title>llama.cpp - chat</title>
 
   <style>
     body {
-      background-color: #fff;
-      color: #000;
       font-family: system-ui;
       font-size: 90%;
     }
-- 
cgit v1.2.3


From c574bddb368424b5996cbee2ec45ec050967d404 Mon Sep 17 00:00:00 2001
From: Bono Lv <lvscar@users.noreply.github.com>
Date: Tue, 1 Aug 2023 20:54:28 +0800
Subject: fix a typo in examples/server/README.md (#2478)

---
 examples/server/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'examples/server')

diff --git a/examples/server/README.md b/examples/server/README.md
index e5ca826..aee31ae 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -163,7 +163,7 @@ node .
 
     `content`: Set the text to tokenize.
 
-    Note that the special `BOS` token is not added in fron of the text and also a space character is not inserted automatically as it is for `/completion`.
+    Note that the special `BOS` token is not added in front of the text and also a space character is not inserted automatically as it is for `/completion`.
 
 -   **POST** `/embedding`: Generate embedding of a given text just as [the embedding example](../embedding) does.
 
-- 
cgit v1.2.3


From 5f631c26794b6371fcf2660e8d0c53494a5575f7 Mon Sep 17 00:00:00 2001
From: Stephen Nichols <snichols@users.noreply.github.com>
Date: Fri, 4 Aug 2023 06:37:24 -0500
Subject: Fixing race condition in server and partial stream handling in
 frontend. (#2391)

* Fixing race condition in server.cpp and partial stream handling in completion.js

* Reverting assert edits.

* Adding newline to eof
---
 examples/server/public/completion.js | 55 ++++++++++++++++++++++++------------
 examples/server/server.cpp           |  6 +++-
 2 files changed, 42 insertions(+), 19 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/public/completion.js b/examples/server/public/completion.js
index a43d5a7..0c9bd5f 100644
--- a/examples/server/public/completion.js
+++ b/examples/server/public/completion.js
@@ -43,6 +43,7 @@ export async function* llama(prompt, params = {}, config = {}) {
   const decoder = new TextDecoder();
 
   let content = "";
+  let leftover = ""; // Buffer for partially read lines
 
   try {
     let cont = true;
@@ -53,29 +54,47 @@ export async function* llama(prompt, params = {}, config = {}) {
         break;
       }
 
-      // sse answers in the form multiple lines of: value\n with data always present as a key. in our case we
-      // mainly care about the data: key here, which we expect as json
-      const text = decoder.decode(result.value);
+      // Add any leftover data to the current chunk of data
+      const text = leftover + decoder.decode(result.value);
 
-      // parse all sse events and add them to result
-      const regex = /^(\S+):\s(.*)$/gm;
-      for (const match of text.matchAll(regex)) {
-        result[match[1]] = match[2]
-      }
+      // Check if the last character is a line break
+      const endsWithLineBreak = text.endsWith('\n');
 
-      // since we know this is llama.cpp, let's just decode the json in data
-      result.data = JSON.parse(result.data);
-      content += result.data.content;
+      // Split the text into lines
+      let lines = text.split('\n');
 
-      // yield
-      yield result;
+      // If the text doesn't end with a line break, then the last line is incomplete
+      // Store it in leftover to be added to the next chunk of data
+      if (!endsWithLineBreak) {
+        leftover = lines.pop();
+      } else {
+        leftover = ""; // Reset leftover if we have a line break at the end
+      }
 
-      // if we got a stop token from server, we will break here
-      if (result.data.stop) {
-        if (result.data.generation_settings) {
-          generation_settings = result.data.generation_settings;
+      // Parse all sse events and add them to result
+      const regex = /^(\S+):\s(.*)$/gm;
+      for (const line of lines) {
+        const match = regex.exec(line);
+        if (match) {
+          result[match[1]] = match[2]
+          // since we know this is llama.cpp, let's just decode the json in data
+          if (result.data) {
+            result.data = JSON.parse(result.data);
+            content += result.data.content;
+
+            // yield
+            yield result;
+
+            // if we got a stop token from server, we will break here
+            if (result.data.stop) {
+              if (result.data.generation_settings) {
+                generation_settings = result.data.generation_settings;
+              }
+              cont = false;
+              break;
+            }
+          }
         }
-        break;
       }
     }
   } catch (e) {
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index c072508..6f7a66d 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1274,7 +1274,11 @@ int main(int argc, char **argv)
                 sink.done();
                 return true;
             };
-            res.set_chunked_content_provider("text/event-stream", chunked_content_provider);
+            const auto on_complete = [&](bool) {
+                llama.mutex.unlock();
+            };
+            lock.release();
+            res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete);
         } });
 
     svr.Get("/model.json", [&llama](const Request &, Response &res)
-- 
cgit v1.2.3


From 182af739c4ce237f7579facfe8f94dc53a1f573f Mon Sep 17 00:00:00 2001
From: Cebtenzzre <cebtenzzre@gmail.com>
Date: Fri, 4 Aug 2023 15:00:57 -0400
Subject: server: regenerate completion.js.hpp (#2515)

---
 examples/server/completion.js.hpp | 613 +++++++++++++++++++++-----------------
 1 file changed, 333 insertions(+), 280 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/completion.js.hpp b/examples/server/completion.js.hpp
index f399fb1..f0a071a 100644
--- a/examples/server/completion.js.hpp
+++ b/examples/server/completion.js.hpp
@@ -87,289 +87,342 @@ unsigned char completion_js[] = {
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 };
-unsigned int completion_js_len = 4462;
+unsigned int completion_js_len = 5099;
-- 
cgit v1.2.3


From 332311234a0aa2974b2450710e22e09d90dd6b0b Mon Sep 17 00:00:00 2001
From: Jonas Wunderlich <32615971+jonas-w@users.noreply.github.com>
Date: Fri, 4 Aug 2023 20:16:11 +0000
Subject: fix firefox autoscroll (#2519)

---
 examples/server/index.html.hpp    | 1089 ++++++++++++++++++-------------------
 examples/server/public/index.html |    5 +-
 2 files changed, 547 insertions(+), 547 deletions(-)

(limited to 'examples/server')

diff --git a/examples/server/index.html.hpp b/examples/server/index.html.hpp
index 5bca2a8..bd0b478 100644
--- a/examples/server/index.html.hpp
+++ b/examples/server/index.html.hpp
@@ -554,600 +554,599 @@ unsigned char index_html[] = {
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+  0x20, 0x62, 0x79, 0x20, 0x3c, 0x61, 0x20, 0x68, 0x72, 0x65, 0x66, 0x3d,
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+  0x68, 0x75, 0x62, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x67, 0x65, 0x72,
+  0x67, 0x61, 0x6e, 0x6f, 0x76, 0x2f, 0x6c, 0x6c, 0x61, 0x6d, 0x61, 0x2e,
+  0x63, 0x70, 0x70, 0x22, 0x3e, 0x6c, 0x6c, 0x61, 0x6d, 0x61, 0x2e, 0x63,
+  0x70, 0x70, 0x3c, 0x2f, 0x61, 0x3e, 0x20, 0x61, 0x6e, 0x64, 0x20, 0x3c,
+  0x61, 0x20, 0x68, 0x72, 0x65, 0x66, 0x3d, 0x22, 0x68, 0x74, 0x74, 0x70,
+  0x73, 0x3a, 0x2f, 0x2f, 0x67, 0x67, 0x6d, 0x6c, 0x2e, 0x61, 0x69, 0x22,
+  0x3e, 0x67, 0x67, 0x6d, 0x6c, 0x2e, 0x61, 0x69, 0x3c, 0x2f, 0x61, 0x3e,
+  0x2e, 0x3c, 0x2f, 0x70, 0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20,
+  0x20, 0x20, 0x20, 0x20, 0x3c, 0x2f, 0x66, 0x6f, 0x6f, 0x74, 0x65, 0x72,
+  0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x3c, 0x2f,
+  0x64, 0x69, 0x76, 0x3e, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x20, 0x20, 0x60,
+  0x3b, 0x0a, 0x20, 0x20, 0x20, 0x20, 0x7d, 0x0a, 0x0a, 0x20, 0x20, 0x20,
+  0x20, 0x72, 0x65, 0x6e, 0x64, 0x65, 0x72, 0x28, 0x68, 0x28, 0x41, 0x70,
+  0x70, 0x29, 0x2c, 0x20, 0x64, 0x6f, 0x63, 0x75, 0x6d, 0x65, 0x6e, 0x74,
+  0x2e, 0x62, 0x6f, 0x64, 0x79, 0x29, 0x3b, 0x0a, 0x20, 0x20, 0x3c, 0x2f,
+  0x73, 0x63, 0x72, 0x69, 0x70, 0x74, 0x3e, 0x0a, 0x3c, 0x2f, 0x68, 0x65,
+  0x61, 0x64, 0x3e, 0x0a, 0x0a, 0x3c, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a,
+  0x3c, 0x2f, 0x62, 0x6f, 0x64, 0x79, 0x3e, 0x0a, 0x0a, 0x3c, 0x2f, 0x68,
+  0x74, 0x6d, 0x6c, 0x3e, 0x0a
 };
-unsigned int index_html_len = 13791;
+unsigned int index_html_len = 13781;
diff --git a/examples/server/public/index.html b/examples/server/public/index.html
index 1db69a6..de41da1 100644
--- a/examples/server/public/index.html
+++ b/examples/server/public/index.html
@@ -282,8 +282,9 @@
 
       useEffect(() => {
         // scroll to bottom (if needed)
-        if (container.current && container.current.scrollHeight <= container.current.scrollTop + container.current.offsetHeight + 300) {
-          container.current.scrollTo(0, container.current.scrollHeight)
+        const parent = container.current.parentElement;
+        if (parent && parent.scrollHeight <= parent.scrollTop + parent.offsetHeight + 300) {
+          parent.scrollTo(0, parent.scrollHeight)
         }
       }, [messages])
 
-- 
cgit v1.2.3


From f5bfea0580e417f99850d5456ca541d871a3e48c Mon Sep 17 00:00:00 2001
From: Martin Krasser <krasserm@googlemail.com>
Date: Tue, 8 Aug 2023 15:29:19 +0200
Subject: Allow passing grammar to completion endpoint (#2532)

* Allow passing grammar to completion endpoint
---
 Makefile                   |  2 +-
 examples/server/README.md  |  2 ++
 examples/server/server.cpp | 60 ++++++++++++++++++++++++++++++++++++++++++++--
 3 files changed, 61 insertions(+), 3 deletions(-)

(limited to 'examples/server')

diff --git a/Makefile b/Makefile
index 897c5cb..32598ed 100644
--- a/Makefile
+++ b/Makefile
@@ -380,7 +380,7 @@ embedding: examples/embedding/embedding.cpp                   build-info.h ggml.
 save-load-state: examples/save-load-state/save-load-state.cpp build-info.h ggml.o llama.o common.o $(OBJS)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h,$^) -o $@ $(LDFLAGS)
 
-server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp build-info.h ggml.o llama.o common.o $(OBJS)
+server: examples/server/server.cpp examples/server/httplib.h examples/server/json.hpp examples/server/index.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp build-info.h ggml.o llama.o common.o grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -Iexamples/server $(filter-out %.h,$(filter-out %.hpp,$^)) -o $@ $(LDFLAGS) $(LWINSOCK2)
 
 $(LIB_PRE)embdinput$(DSO_EXT): examples/embd-input/embd-input.h examples/embd-input/embd-input-lib.cpp build-info.h ggml.o llama.o common.o $(OBJS)
diff --git a/examples/server/README.md b/examples/server/README.md
index aee31ae..e56ca06 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -151,6 +151,8 @@ node .
 
     `mirostat_eta`: Set the Mirostat learning rate, parameter eta (default: 0.1).
 
+    `grammar`: Set grammar for grammar-based sampling (default: no grammar)
+
     `seed`: Set the random number generator (RNG) seed (default: -1, -1 = random seed).
 
     `ignore_eos`: Ignore end of stream token and continue generating (default: false).
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 6f7a66d..10ae264 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1,6 +1,7 @@
 #include "common.h"
 #include "llama.h"
 #include "build-info.h"
+#include "grammar-parser.h"
 
 #ifndef NDEBUG
 // crash the server in debug mode, otherwise send an http 500 error
@@ -195,6 +196,8 @@ struct llama_server_context
     llama_context *ctx = nullptr;
     gpt_params params;
 
+    llama_grammar *grammar = nullptr;
+
     bool truncated = false;
     bool stopped_eos = false;
     bool stopped_word = false;
@@ -226,6 +229,7 @@ struct llama_server_context
     void rewind()
     {
         params.antiprompt.clear();
+        params.grammar.clear();
         num_prompt_tokens = 0;
         num_tokens_predicted = 0;
         generated_text = "";
@@ -237,6 +241,7 @@ struct llama_server_context
         stopped_limit = false;
         stopping_word = "";
         multibyte_pending = 0;
+        grammar = nullptr;
 
         n_remain = 0;
         n_past = 0;
@@ -257,6 +262,33 @@ struct llama_server_context
         return true;
     }
 
+    bool loadGrammar()
+    {
+        if (!params.grammar.empty()) {
+            grammar_parser::parse_state parsed_grammar;
+
+            parsed_grammar = grammar_parser::parse(params.grammar.c_str());
+            // will be empty (default) if there are parse errors
+            if (parsed_grammar.rules.empty()) {
+                LOG_ERROR("grammar parse error", {{"grammar", params.grammar}});
+                return false;
+            }
+            grammar_parser::print_grammar(stderr, parsed_grammar);
+
+            {
+                auto it = params.logit_bias.find(llama_token_eos());
+                if (it != params.logit_bias.end() && it->second == -INFINITY) {
+                    LOG_WARNING("EOS token is disabled, which will cause most grammars to fail", {});
+                }
+            }
+
+            std::vector<const llama_grammar_element *> grammar_rules(parsed_grammar.c_rules());
+            grammar = llama_grammar_init(
+                grammar_rules.data(), grammar_rules.size(), parsed_grammar.symbol_ids.at("root"));
+        }
+        return true;
+    }
+
     void loadPrompt()
     {
         params.prompt.insert(0, 1, ' '); // always add a first space
@@ -420,6 +452,10 @@ struct llama_server_context
                 logits[llama_token_nl()] = nl_logit;
             }
 
+            if (grammar != nullptr) {
+                llama_sample_grammar(ctx, &candidates_p, grammar);
+            }
+
             if (temp <= 0)
             {
                 // Greedy sampling
@@ -457,10 +493,15 @@ struct llama_server_context
                 }
             }
 
+            if (grammar != nullptr) {
+                llama_grammar_accept_token(ctx, grammar, result.tok);
+            }
+
             for (size_t i = 0; i < std::min(candidates_p.size, (size_t)n_probs); ++i)
             {
                 result.probs.push_back({candidates_p.data[i].id, candidates_p.data[i].p});
             }
+
             last_n_tokens.erase(last_n_tokens.begin());
             last_n_tokens.push_back(result.tok);
             num_tokens_predicted++;
@@ -947,6 +988,7 @@ static json format_generation_settings(llama_server_context &llama)
         {"stream", llama.stream},
         {"logit_bias", llama.params.logit_bias},
         {"n_probs", llama.params.n_probs},
+        {"grammar", llama.params.grammar},
     };
 }
 
@@ -1048,6 +1090,7 @@ static void parse_options_completion(const json &body, llama_server_context &lla
     llama.params.n_keep = body.value("n_keep", default_params.n_keep);
     llama.params.seed = body.value("seed", default_params.seed);
     llama.params.prompt = body.value("prompt", default_params.prompt);
+    llama.params.grammar = body.value("grammar", default_params.grammar);
     llama.params.n_probs = body.value("n_probs", default_params.n_probs);
 
     llama.params.logit_bias.clear();
@@ -1179,6 +1222,12 @@ int main(int argc, char **argv)
 
         parse_options_completion(json::parse(req.body), llama);
 
+        if (!llama.loadGrammar())
+        {
+            res.status = 400;
+            return;
+        }
+
         llama.loadPrompt();
         llama.beginCompletion();
 
@@ -1334,8 +1383,12 @@ int main(int argc, char **argv)
 
     svr.set_error_handler([](const Request &, Response &res)
                           {
-        res.set_content("File Not Found", "text/plain");
-        res.status = 404; });
+        if (res.status == 400) {
+            res.set_content("Invalid request", "text/plain");
+        } else {
+            res.set_content("File Not Found", "text/plain");
+            res.status = 404;
+        } });
 
     // set timeouts and change hostname and port
     svr.set_read_timeout(sparams.read_timeout);
@@ -1363,6 +1416,9 @@ int main(int argc, char **argv)
         return 1;
     }
 
+    if (llama.grammar != nullptr) {
+        llama_grammar_free(llama.grammar);
+    }
     llama_backend_free();
 
     return 0;
-- 
cgit v1.2.3