Instructions to use aaro765/BanBTPV4-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use aaro765/BanBTPV4-coder with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="aaro765/BanBTPV4-coder", filename="BanBTPV4-coder/banbtpv4-coder.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use aaro765/BanBTPV4-coder with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aaro765/BanBTPV4-coder # Run inference directly in the terminal: llama-cli -hf aaro765/BanBTPV4-coder
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf aaro765/BanBTPV4-coder # Run inference directly in the terminal: llama-cli -hf aaro765/BanBTPV4-coder
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 aaro765/BanBTPV4-coder # Run inference directly in the terminal: ./llama-cli -hf aaro765/BanBTPV4-coder
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 aaro765/BanBTPV4-coder # Run inference directly in the terminal: ./build/bin/llama-cli -hf aaro765/BanBTPV4-coder
Use Docker
docker model run hf.co/aaro765/BanBTPV4-coder
- LM Studio
- Jan
- Ollama
How to use aaro765/BanBTPV4-coder with Ollama:
ollama run hf.co/aaro765/BanBTPV4-coder
- Unsloth Studio
How to use aaro765/BanBTPV4-coder 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 aaro765/BanBTPV4-coder 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 aaro765/BanBTPV4-coder to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aaro765/BanBTPV4-coder to start chatting
- Docker Model Runner
How to use aaro765/BanBTPV4-coder with Docker Model Runner:
docker model run hf.co/aaro765/BanBTPV4-coder
- Lemonade
How to use aaro765/BanBTPV4-coder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aaro765/BanBTPV4-coder
Run and chat with the model
lemonade run user.BanBTPV4-coder-{{QUANT_TAG}}List all available models
lemonade list
Update metadata (general.name, general.description, banbtp.version, banbtp.created_by)
Browse filesUpdated metadata:
* **general.name**: BanBTPV4-coder
* **general.description**: BanBTPV4 GGUF.
* **banbtp.version**: v4
* **banbtp.created_by**: make_banbtpv4.py
BanBTPV4-coder/banbtpv4-coder.gguf
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