Instructions to use andreclaudino/CodeLlama-70b-Instruct-bitnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="andreclaudino/CodeLlama-70b-Instruct-bitnet", filename="model-F16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: ./llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Use Docker
docker model run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- LM Studio
- Jan
- Ollama
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Ollama:
ollama run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- Unsloth Studio new
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for andreclaudino/CodeLlama-70b-Instruct-bitnet to start chatting
- Docker Model Runner
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Docker Model Runner:
docker model run hf.co/andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
- Lemonade
How to use andreclaudino/CodeLlama-70b-Instruct-bitnet with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull andreclaudino/CodeLlama-70b-Instruct-bitnet:F16
Run and chat with the model
lemonade run user.CodeLlama-70b-Instruct-bitnet-F16
List all available models
lemonade list
Can this be used with bitnet.cpp?
Hi there,
Thanks for making this.
I am just wondering if this model can be used by Bitnet.cpp.
Or what client can use it? Or how to convert it to gguf?
Thanks again.
Regards...
Thank you for reaching me out. This model was just made yesterday. I believe it's not ready yet, need more tests. Before using that with bitnetcpp (or a recent version of LLAMMACpp which suporta Bitnet) you first meet to convert it to GGUF format. I am working in a GGUF version to be included on this repository soon.
Thank you for reaching me out. This model was just made yesterday. I believe it's not ready yet, need more tests. Before using that with bitnetcpp (or a recent version of LLAMMACpp which suporta Bitnet) you first meet to convert it to GGUF format. I am working in a GGUF version to be included on this repository soon.
Thanks, I am just too exceited to test the Bitnet.cpp.
Regards...