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。 llm=CTransformers(model='models/codellam...
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...
./main -m ../codellama/CodeLlama-7b-Python/ggml-model-f16.gguf -p "def fibonacci(" 4.4 量化 量化后的文件会直接生成到当前目录。 ./quantize ../codellama/CodeLlama-7b-Python/ggml-model-f16.gguf ggml-model-f16-q4_0.gguf q4_0 4.5 用量化后的模型运行 ./main -m ggml-model-f16-q4...
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-...
LLaVA 7B 4.5GB ollama run llava 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 ...
llama-gpt-api-7b: image: ghcr.io/abetlen/llama-cpp-python:latest llama-gpt-api: # Pin the image to llama-cpp-python 0.1.78 to avoid ggml => gguf breaking changes image: ghcr.io/abetlen/llama-cpp-python:latest@sha256:b6d21ff8c4d9baad65e1fa741a0f8c898d68735fff3f3cd777e3f0c6a18...
python-mllama_cpp.server--modelmodels/llama-2-7b.Q4_0.gguf--n_gpu_layers1 Ollama 官网https://ollama.ai/github https://github.com/jmorganca/ollamadocker https://ollama.ai/blog/ollama-is-now-available-as-an-official-docker-image ...
python-mllama_cpp.server--modelmodels/llama-2-7b.Q4_0.gguf--n_gpu_layers1 Ollama 官网https://ollama.ai/github https://github.com/jmorganca/ollamadocker https://ollama.ai/blog/ollama-is-now-available-as-an-official-docker-image ...
Nous Hermes Llama 2 13B Chat (GGML q4_0) 13B 7.32GB 9.82GB Nous Hermes Llama 2 70B Chat (GGML q4_0) 70B 38.87GB 41.37GB Code Llama 7B Chat (GGUF Q4_K_M) 7B 4.24GB 6.74GB Code Llama 13B Chat (GGUF Q4_K_M) 13B 8.06GB 10.56GB Phind Code Llama 34B Chat (GGUF Q4_K_M)...
CMAKE_ARGS="-DLLAMA_METAL=on -DCMAKE_OSX_ARCHITECTURES=arm64" FORCE_CMAKE=1 pip install -U llama-cpp-python --no-cache-dir --force-reinstall 启动Api 模式 pip install llama-cpp-python[server]python -m llama_cpp.server --model models/llama-2-7b.Q4_0.ggufpython -m llama_cpp.server...