TheBloke/CodeLlama-7B-Python-GGUF · Hugging Face 下载量化模型的文件如codellama-7b-python.Q2_K.gguf,将其保存在合适的项目子文件夹中,如/models。 然后通过LangChain集成 也就是说将在LangChain中使用CTransformers LLM包装器,它为GGUF模型提供了一个统一的接口。
code llama就是在llama2模型【一文看懂llama2(原理,模型,训练)】的基础上,利用代码数据进行训练和微调,提高llama2在代码生成上的能力。 code llama提供了三种模型,每种模型包含7B,13B,34B三个尺寸,支持多种编程语言,如Python,C++, Java,PHP, Typescript (Javascript),C#,Bash等。 Code Llama,代码生成的基础模型;...
CMAKE_ARGS="-DLLAMA_METAL=on -DCMAKE_OSX_ARCHITECTURES=arm64"FORCE_CMAKE=1pipinstall-Ullama-cpp-python--no-cache-dir--force-reinstall 启动Api 模式 pipinstallllama-cpp-python[server] python-mllama_cpp.server--modelmodels/llama-2-7b.Q4_0.gguf python-mllama_cpp.server--modelmodels/llama-...
@TheBloke I tried your codellama-7b-python.Q4_K_M.gguf and it fails with this error: error loading model: create_tensor: tensor 'token_embd.weight' has wrong shape; expected 4096, 32016, got 4096, 32000, 1, 1 I tried converting this model myself, and it works for me, so I am...
python3 convert.py ../codellama/CodeLlama-7b-Python 在转换之前用安装需要的python模块: pip3 install -r requirements.txt 4.3运行转换后的模型 该运行需要大量内存,内存小的机器就不要试了,量化后再试。 ./main -m ../codellama/CodeLlama-7b-Python/ggml-model-f16.gguf -p "def fibonacci(" 4.4 ...
Import from GGUF Ollama supports importing GGUF models in the Modelfile: Create a file namedModelfile, with aFROMinstruction with the local filepath to the model you want to import. FROM ./vicuna-33b.Q4_0.gguf Create the model in Ollama ...
Code Llama 13B Chat (GGUF Q4_K_M)13B8.06GB10.56GB Phind Code Llama 34B Chat (GGUF Q4_K_M)34B20.22GB22.72GB How to install Install LlamaGPT on your umbrelOS home server Running LlamaGPT on anumbrelOShome server is one click. Simply install it from theUmbrel App Store. ...
Thanks to llama-cpp-python, a drop-in replacement for OpenAI API is available at http://localhost:3001. Open http://localhost:3001/docs to see the API documentation. 基线 We've tested LlamaGPT models on the following hardware with the default system prompt, and user prompt: "How does the...
2.1 Nous Hermes Llama 2 7B Chat (GGML q4_0) 2.2 Nous Hermes Llama 2 13B Chat (GGML q4_0) 2.3 Nous Hermes Llama 2 70B Chat (GGML q4_0) 2.4 Code Llama 7B Chat (GGUF Q4_K_M) 2.5 Code Llama 13B Chat (GGUF Q4_K_M) ...
[!NOTE] You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models. Customize a model Import from GGUF Ollama supports importing GGUF models in the Modelfile: Create a file named Modelfile, with a FROM ins...