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C/C++ 中的 LLM 推理

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资源介绍:

描述 主要目标llama.cpp是在各种硬件（本地和云端）上以最少的设置和最先进的性能实现 LLM 推理。 纯 C/C++ 实现，无任何依赖项 Apple 芯片是一流的——通过 ARM NEON、Accelerate 和 Metal 框架进行了优化 AVX、AVX2 和 AVX512 支持 x86 架构 1.5 位、2 位、3 位、4 位、5 位、6 位和 8 位整数量化，可加快推理速度并减少内存使用 用于在 NVIDIA GPU 上运行 LLM 的自定义 CUDA 内核（通过 HIP 支持 AMD GPU） Vulkan 和 SYCL 后端支持 CPU+GPU 混合推理，部分加速大于 VRAM 总容量的模型
# LLaMA.cpp HTTP Server Fast, lightweight, pure C/C++ HTTP server based on [httplib](https://github.com/yhirose/cpp-httplib), [nlohmann::json](https://github.com/nlohmann/json) and **llama.cpp**. Set of LLM REST APIs and a simple web front end to interact with llama.cpp. **Features:** * LLM inference of F16 and quantized models on GPU and CPU * [OpenAI API](https://github.com/openai/openai-openapi) compatible chat completions and embeddings routes * Parallel decoding with multi-user support * Continuous batching * Multimodal (wip) * Monitoring endpoints * Schema-constrained JSON response format The project is under active development, and we are [looking for feedback and contributors](https://github.com/ggerganov/llama.cpp/issues/4216). ## Usage ``` usage: ./llama-server [options] general: -h, --help, --usage print usage and exit --version show version and build info -v, --verbose print verbose information --verbosity N set specific verbosity level (default: 0) --verbose-prompt print a verbose prompt before generation (default: false) --no-display-prompt don't print prompt at generation (default: false) -co, --color colorise output to distinguish prompt and user input from generations (default: false) -s, --seed SEED RNG seed (default: -1, use random seed for < 0) -t, --threads N number of threads to use during generation (default: 8) -tb, --threads-batch N number of threads to use during batch and prompt processing (default: same as --threads) -td, --threads-draft N number of threads to use during generation (default: same as --threads) -tbd, --threads-batch-draft N number of threads to use during batch and prompt processing (default: same as --threads-draft) --draft N number of tokens to draft for speculative decoding (default: 5) -ps, --p-split N speculative decoding split probability (default: 0.1) -lcs, --lookup-cache-static FNAME path to static lookup cache to use for lookup decoding (not updated by generation) -lcd, --lookup-cache-dynamic FNAME path to dynamic lookup cache to use for lookup decoding (updated by generation) -c, --ctx-size N size of the prompt context (default: 0, 0 = loaded from model) -n, --predict N number of tokens to predict (default: -1, -1 = infinity, -2 = until context filled) -b, --batch-size N logical maximum batch size (default: 2048) -ub, --ubatch-size N physical maximum batch size (default: 512) --keep N number of tokens to keep from the initial prompt (default: 0, -1 = all) --chunks N max number of chunks to process (default: -1, -1 = all) -fa, --flash-attn enable Flash Attention (default: disabled) -p, --prompt PROMPT prompt to start generation with in conversation mode, this will be used as system prompt (default: '') -f, --file FNAME a file containing the prompt (default: none) --in-file FNAME an input file (repeat to specify multiple files) -bf, --binary-file FNAME binary file containing the prompt (default: none) -e, --escape process escapes sequences (\n, \r, \t, \', \", \\) (default: true) --no-escape do not process escape sequences -ptc, --print-token-count N print token count every N tokens (default: -1) --prompt-cache FNAME file to cache prompt state for faster startup (default: none) --prompt-cache-all if specified, saves user input and generations to cache as well not supported with --interactive or other interactive options --prompt-cache-ro if specified, uses the prompt cache but does not update it -r, --reverse-prompt PROMPT halt generation at PROMPT, return control in interactive mode can be specified more than once for multiple prompts -sp, --special special tokens output enabled (default: false) -cnv, --conversation run in conversation mode, does not print special tokens and suffix/prefix if suffix/prefix are not specified, default chat template will be used (default: false) -i, --interactive run in interactive mode (default: false) -if, --interactive-first run in interactive mode and wait for input right away (default: false) -mli, --multiline-input allows you to write or paste multiple lines without ending each in '\' --in-prefix-bos prefix BOS to user inputs, preceding the `--in-prefix` string --in-prefix STRING string to prefix user inputs with (default: empty) --in-suffix STRING string to suffix after user inputs with (default: empty) --spm-infill use Suffix/Prefix/Middle pattern for infill (instead of Prefix/Suffix/Middle) as some models prefer this. (default: disabled) sampling: --samplers SAMPLERS samplers that will be used for generation in the order, separated by ';' (default: top_k;tfs_z;typical_p;top_p;min_p;temperature) --sampling-seq SEQUENCE simplified sequence for samplers that will be used (default: kfypmt) --ignore-eos ignore end of stream token and continue generating (implies --logit-bias EOS-inf) --penalize-nl penalize newline tokens (default: false) --temp N temperature (default: 0.8) --top-k N top-k sampling (default: 40, 0 = disabled) --top-p N top-p sampling (default: 0.9, 1.0 = disabled) --min-p N min-p sampling (default: 0.1, 0.0 = disabled) --tfs N tail free sampling, parameter z (default: 1.0, 1.0 = disabled) --typical N locally typical sampling, parameter p (default: 1.0, 1.0 = disabled) --repeat-last-n N last n tokens to consider for penalize (default: 64, 0 = disabled, -1 = ctx_size) --repeat-penalty N penalize repeat sequence of tokens (default: 1.0, 1.0 = disabled) --presence-penalty N repeat alpha presence penalty (default: 0.0, 0.0 = disabled) --frequency-penalty N repeat alpha frequency penalty (default: 0.0, 0.0 = disabled) --dynatemp-range N dynamic temperature range (default: 0.0, 0.0 = disabled) --dynatemp-exp N dynamic temperature exponent (default: 1.0) --mirostat N use Mirostat sampling. Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) --mirostat-lr N Mirostat learning rate, parameter eta (default: 0.1) --mirostat-ent N Mirostat target entropy, parameter tau (default: 5.0) -l TOKEN_ID(+/-)BIAS modifies the likelihood of token appearing in the completion, i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello', or `--logit-bias 15043-1` to decrease likelihood of token ' Hello' --cfg-negative-prompt PROMPT negative prompt to use for guidance (default: '') --cfg-negative-prompt-file FNAME negative prompt file to use for guidance --cfg-scale N strength of guidance (default: 1.0, 1.0 = disable)

资源文件列表:

llama.cpp-master.zip 大约有1096个文件
  1. llama.cpp-master/
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  63. llama.cpp-master/.gitmodules 94B
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  65. llama.cpp-master/AUTHORS 32.93KB
  66. llama.cpp-master/CMakeLists.txt 6.29KB
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  102. llama.cpp-master/common/sampling.cpp 17.68KB
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  104. llama.cpp-master/common/stb_image.h 313.42KB
  105. llama.cpp-master/common/train.cpp 64.78KB
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  107. llama.cpp-master/convert_hf_to_gguf.py 169.04KB
  108. llama.cpp-master/convert_hf_to_gguf_update.py 14.43KB
  109. llama.cpp-master/convert_llama_ggml_to_gguf.py 18.63KB
  110. llama.cpp-master/convert_lora_to_gguf.py 14.04KB
  111. llama.cpp-master/docs/
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  113. llama.cpp-master/docs/backend/
  114. llama.cpp-master/docs/backend/BLIS.md 1.7KB
  115. llama.cpp-master/docs/backend/SYCL.md 23.63KB
  116. llama.cpp-master/docs/build.md 19.97KB
  117. llama.cpp-master/docs/development/
  118. llama.cpp-master/docs/development/HOWTO-add-model.md 4.8KB
  119. llama.cpp-master/docs/development/debugging-tests.md 3.1KB
  120. llama.cpp-master/docs/development/llama-star/
  121. llama.cpp-master/docs/development/llama-star/idea-arch.key 477.14KB
  122. llama.cpp-master/docs/development/llama-star/idea-arch.pdf 41.34KB
  123. llama.cpp-master/docs/development/token_generation_performance_tips.md 2.25KB
  124. llama.cpp-master/docs/docker.md 4.72KB
  125. llama.cpp-master/docs/install.md 872B
  126. llama.cpp-master/examples/
  127. llama.cpp-master/examples/CMakeLists.txt 1.33KB
  128. llama.cpp-master/examples/Miku.sh 2.57KB
  129. llama.cpp-master/examples/baby-llama/
  130. llama.cpp-master/examples/baby-llama/CMakeLists.txt 239B
  131. llama.cpp-master/examples/baby-llama/baby-llama.cpp 61.05KB
  132. llama.cpp-master/examples/base-translate.sh 1001B
  133. llama.cpp-master/examples/batched-bench/
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  136. llama.cpp-master/examples/batched-bench/batched-bench.cpp 6.63KB
  137. llama.cpp-master/examples/batched.swift/
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  142. llama.cpp-master/examples/batched.swift/Sources/
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  148. llama.cpp-master/examples/benchmark/
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  150. llama.cpp-master/examples/benchmark/benchmark-matmult.cpp 9.61KB
  151. llama.cpp-master/examples/chat-13B.bat 2.39KB
  152. llama.cpp-master/examples/chat-13B.sh 1.31KB
  153. llama.cpp-master/examples/chat-persistent.sh 4.93KB
  154. llama.cpp-master/examples/chat-vicuna.sh 1.3KB
  155. llama.cpp-master/examples/chat.sh 349B
  156. llama.cpp-master/examples/convert-llama2c-to-ggml/
  157. llama.cpp-master/examples/convert-llama2c-to-ggml/CMakeLists.txt 265B
  158. llama.cpp-master/examples/convert-llama2c-to-ggml/README.md 1.52KB
  159. llama.cpp-master/examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp 34.26KB
  160. llama.cpp-master/examples/convert_legacy_llama.py 58.15KB
  161. llama.cpp-master/examples/cvector-generator/
  162. llama.cpp-master/examples/cvector-generator/CMakeLists.txt 261B
  163. llama.cpp-master/examples/cvector-generator/README.md 1.54KB
  164. llama.cpp-master/examples/cvector-generator/completions.txt 6.75KB
  165. llama.cpp-master/examples/cvector-generator/cvector-generator.cpp 17.91KB
  166. llama.cpp-master/examples/cvector-generator/mean.hpp 1.49KB
  167. llama.cpp-master/examples/cvector-generator/negative.txt 989B
  168. llama.cpp-master/examples/cvector-generator/pca.hpp 11.43KB
  169. llama.cpp-master/examples/cvector-generator/positive.txt 955B
  170. llama.cpp-master/examples/deprecation-warning/
  171. llama.cpp-master/examples/deprecation-warning/README.md 1.64KB
  172. llama.cpp-master/examples/deprecation-warning/deprecation-warning.cpp 1.15KB
  173. llama.cpp-master/examples/embedding/
  174. llama.cpp-master/examples/embedding/CMakeLists.txt 237B
  175. llama.cpp-master/examples/embedding/README.md 2.14KB
  176. llama.cpp-master/examples/embedding/embedding.cpp 9.36KB
  177. llama.cpp-master/examples/eval-callback/
  178. llama.cpp-master/examples/eval-callback/CMakeLists.txt 530B
  179. llama.cpp-master/examples/eval-callback/README.md 4.61KB
  180. llama.cpp-master/examples/eval-callback/eval-callback.cpp 6.09KB
  181. llama.cpp-master/examples/export-lora/
  182. llama.cpp-master/examples/export-lora/CMakeLists.txt 241B
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  184. llama.cpp-master/examples/export-lora/export-lora.cpp 15.98KB
  185. llama.cpp-master/examples/gbnf-validator/
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  187. llama.cpp-master/examples/gbnf-validator/gbnf-validator.cpp 4.36KB
  188. llama.cpp-master/examples/gguf-hash/
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  208. llama.cpp-master/examples/gguf-split/
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  213. llama.cpp-master/examples/gguf/
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  220. llama.cpp-master/examples/imatrix/
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  224. llama.cpp-master/examples/infill/
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  234. llama.cpp-master/examples/json_schema_pydantic_example.py 3.14KB
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  236. llama.cpp-master/examples/llama-bench/
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