docker build -t llama_cpp_cuda_simple . 启动服务 docker run --gpus=all --cap-add SYS_RESOURCE -e USE_MLOCK=0 -e model=/models/downloaded/MaziyarPanahi--Mistral-7B-Instruct-v0.3-GGUF/Mistral-7B-Instruct-v0.3.Q4_K_M.gguf -e n_gpu_layers=-1 -e chat_format=chatml-function-calling ...
docker build -t llama_cpp_cuda_simple . 启动服务 docker run --gpus=all --cap-add SYS_RESOURCE -e USE_MLOCK=0 -e model=/models/downloaded/MaziyarPanahi--Mistral-7B-Instruct-v0.3-GGUF/Mistral-7B-Instruct-v0.3.Q4_K_M.gguf -e n_gpu_layers=-1 -e chat_format=chatml-function-calling ...
llama_cpp_function_tools=[add_function_tool,sub_function_tool], allow_parallel_function_calling=True, system_prompt="你是一个强大的人工智能助手,通过基于json格式进行函数调用",) msg = agent.generate_response("我现在有500元,我买东西花了300元,我现在还有多少,你能帮我计算一下吗?")print(msg) ...
output_settings = LlmStructuredOutputSettings.from_functions([add,sub],allow_parallel_function_calling=True) add_function_tool = LlamaCppFunctionTool(add) sub_function_tool = LlamaCppFunctionTool(sub) agent = FunctionCallingAgent( llama_llm=provider, debug_output=True, llama_cpp_function_tools=[add...
1、目前看起来和llama.cpp不适配的地方主要是两个,一个是llama.cpp不支持dynamic ntk,但这个几乎已经是用得最广泛的外推方法之一了,并且我们只在这个上面验证了可以外推到200k;另一个是tokenizer两边是不同的,但这个也是为了更好的tokenizer压缩率和加入中文之类的。 2、至于internlm和llama的差异,正如之前讨论的...
Build llama.cpp locally To get the Code: git clone https://github.com/ggml-org/llama.cpp cd llama.cpp The following sections describe how to build with different backends and options. CPU Build Build llama.cpp using CMake: cmake -B build cmake --build build --config Release Notes: ...
Get up and running with Llama 3, Mistral, Gemma 2, and other large language models. - llm: update llama.cpp commit to `7c26775` (#4896) · TaishoVault/ollama-function-calling-patch@152fc20
glaiveai/glaive-function-calling-v2是一个专门用于训练大语言模型处理函数调用方面的数据集。我们可以下载这个数据集,并将数据转换为适合Llama3对话的格式,并保存到"/data"目录下。 数据下载地址:https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2 ...
docs: add docs/function-calling.md to lighten server/README.md's plight (#12069) 1个月前 examples server: fix deadly typo in response_format.json_schema.schema handli… 1个月前 ggml HIP: implement FlashAttention via rocWMMA for CDNA and RDNA3+ (#12032) ...
While some OpenAI-specific features such as function calling aren't supported, llama.cpp /completion-specific features such as mirostat are supported. The response_format parameter supports both plain JSON output (e.g. {"type": "json_object"}) and schema-constrained JSON (e.g. {"type": "...