From 32c54116318929c90fd7ae814cf9b5232cd44c36 Mon Sep 17 00:00:00 2001 From: Howard Su 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 ¶ms, 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 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^(āˆ’2(iāˆ’1)/d), for i in [1, 2, ..., d/2] Our customizable RoPE, ggml_rope_custom_inplace, uses theta_i = scale * base^(āˆ’2(iāˆ’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 --- examples/server/README.md | 1 + examples/server/chat.sh | 2 ++ examples/server/server.cpp | 18 ++++++++++++++++++ 3 files changed, 21 insertions(+) (limited to 'examples/server') 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 ¶ms, 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; -- 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 --- examples/server/CMakeLists.txt | 1 + 1 file changed, 1 insertion(+) (limited to 'examples/server') 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=$ ) -- cgit v1.2.3 From 9cf022a1889e50113fd348dc96b4557fc75a6296 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Przemys=C5=82aw=20Pawe=C5=82czyk?= 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 --- examples/server/CMakeLists.txt | 3 +++ 1 file changed, 3 insertions(+) (limited to 'examples/server') 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(${TARGET} PRIVATE SERVER_VERBOSE=$ ) 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 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 ¶ms, 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 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 --- examples/server/index.html.hpp | 1078 +++++++++++++++++++++++-------------- examples/server/public/index.html | 122 ++++- 2 files changed, 756 insertions(+), 444 deletions(-) (limited to 'examples/server') 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, 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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` +
+ + + ${value} +
+ ` + }; + + const IntField = ({label, max, min, name, value}) => { + return html` +
+ + + ${value} +
+ ` + }; return html`
@@ -272,7 +331,9 @@