BanBTP V3 & 4 models
Collection
Small, big, efficient! V3 trained on better internet data, yet smaller in parameters to stay light. V4 is a tad bit larger, but trained on same data. • 3 items • Updated
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf aaro765/BanBTP-19M-V3:F16# Run inference directly in the terminal:
llama cli -hf aaro765/BanBTP-19M-V3:F16Build 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 aaro765/BanBTP-19M-V3:F16# Run inference directly in the terminal:
./build/bin/llama cli -hf aaro765/BanBTP-19M-V3:F16Use Docker
docker model run hf.co/aaro765/BanBTP-19M-V3:F16Quick Links
This is BanBTPV3! A even smaller model!
What is BanBTP? BanBTP is a model designed to be light. BanBTP aims to be a small smart chatbot.
this model has a 128 context window. (quite small!)
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf aaro765/BanBTP-19M-V3:F16# Run inference directly in the terminal: llama cli -hf aaro765/BanBTP-19M-V3:F16