Instructions to use aaro765/BanBTPV9 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 aaro765/BanBTPV9 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 aaro765/BanBTPV9:F16 # Run inference directly in the terminal: llama cli -hf aaro765/BanBTPV9:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf aaro765/BanBTPV9:F16 # Run inference directly in the terminal: llama cli -hf aaro765/BanBTPV9: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 aaro765/BanBTPV9:F16 # Run inference directly in the terminal: ./llama-cli -hf aaro765/BanBTPV9: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 aaro765/BanBTPV9:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf aaro765/BanBTPV9:F16
Use Docker
docker model run hf.co/aaro765/BanBTPV9:F16
- LM Studio
- Jan
- Ollama
How to use aaro765/BanBTPV9 with Ollama:
ollama run hf.co/aaro765/BanBTPV9:F16
- Unsloth Studio
How to use aaro765/BanBTPV9 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/BanBTPV9 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/BanBTPV9 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for aaro765/BanBTPV9 to start chatting
- Docker Model Runner
How to use aaro765/BanBTPV9 with Docker Model Runner:
docker model run hf.co/aaro765/BanBTPV9:F16
- Lemonade
How to use aaro765/BanBTPV9 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull aaro765/BanBTPV9:F16
Run and chat with the model
lemonade run user.BanBTPV9-F16
List all available models
lemonade list
- Atomic Chat
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aaro765/BanBTPV9:F16# Run inference directly in the terminal:
llama cli -hf aaro765/BanBTPV9:F16Use 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/BanBTPV9:F16# Run inference directly in the terminal:
./llama-cli -hf aaro765/BanBTPV9:F16Build 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/BanBTPV9:F16# Run inference directly in the terminal:
./build/bin/llama-cli -hf aaro765/BanBTPV9:F16Use Docker
docker model run hf.co/aaro765/BanBTPV9:F16Introducing BanBTPV9, the last version of BanBTP series, designed to be a true chatbot just like our original release but even better!
What does this mean? is BanBTP officially over? No. This just means this is the end for our vanilla GPT2 based BanBTP models. new models will support a more modern gpt2 with modern tokenizer. we use gpt2 because it is open source.
Starting With BanBTP V10 (aka bantp codenamed BannerBTP) all BanBTP models will be labeled under BanBTP 2.0-V{version number}.
There will also be a BanBTP 2.0 comparison too.
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf aaro765/BanBTPV9:F16# Run inference directly in the terminal: llama cli -hf aaro765/BanBTPV9:F16