Instructions to use aless2212/CodeLlama-7b-Python-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use aless2212/CodeLlama-7b-Python-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
Use Docker
docker model run hf.co/aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use aless2212/CodeLlama-7b-Python-GGUF with Ollama:
ollama run hf.co/aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use aless2212/CodeLlama-7b-Python-GGUF with Docker Model Runner:
docker model run hf.co/aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
- Lemonade
How to use aless2212/CodeLlama-7b-Python-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aless2212/CodeLlama-7b-Python-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.CodeLlama-7b-Python-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download CodeLlama-7b-Python.Q5_K_M.gguf from aless2212/CodeLlama-7b-Python-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 4.78 GB
-
https://huggingface.co/aless2212/CodeLlama-7b-Python-GGUF/resolve/main/CodeLlama-7b-Python.Q5_K_M.gguf
- Command line
-
hf download hf://aless2212/CodeLlama-7b-Python-GGUF/CodeLlama-7b-Python.Q5_K_M.gguf
-
curl -L -o CodeLlama-7b-Python.Q5_K_M.gguf https://huggingface.co/aless2212/CodeLlama-7b-Python-GGUF/resolve/main/CodeLlama-7b-Python.Q5_K_M.gguf
4.78 GB
- Xet hash:
- 7b05e6ee1b6f920a10fb71ad1da6cb9627a58d202164b6a6d5f2037e4cc1b1dc
- Size of remote file:
- 4.78 GB
- SHA256:
- ae8db5770c865c2083e394efe6b73e8a1d2342dbd977ac81b2332a3b34af4eb4
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