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author | Xiao-Yong Jin <jinxiaoyong@gmail.com> | 2023-07-15 06:34:16 -0400 |
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committer | GitHub <noreply@github.com> | 2023-07-15 13:34:16 +0300 |
commit | 6e7cca404748dd4b1a3affd0d1296e37f4ac0a6f (patch) | |
tree | dcbb7be0dbc8da79e0bf54d57a55b4b78b1dd461 /examples/server | |
parent | a6803cab946c817fb7aaf2a40b317f5d3e373bd1 (diff) |
llama : add custom RoPE (#2054)
* Implement customizable RoPE
The original RoPE has pre-defined parameters
theta_i = 10000^(ā2(iā1)/d), for i in [1, 2, ..., d/2]
Our customizable RoPE, ggml_rope_custom_inplace, uses
theta_i = scale * base^(ā2(iā1)/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>
Diffstat (limited to 'examples/server')
-rw-r--r-- | examples/server/README.md | 1 | ||||
-rw-r--r-- | examples/server/chat.sh | 2 | ||||
-rw-r--r-- | examples/server/server.cpp | 18 |
3 files changed, 21 insertions, 0 deletions
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; |