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-V4-41M:F16# Run inference directly in the terminal:
llama cli -hf aaro765/BanBTP-V4-41M: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-V4-41M:F16# Run inference directly in the terminal:
./build/bin/llama cli -hf aaro765/BanBTP-V4-41M:F16Use Docker
docker model run hf.co/aaro765/BanBTP-V4-41M:F16Quick Links
BanBTPV4 is slightly larger than V3. What is BanBTP? BanBTP is a series of open weight million parameter models series, (NOT BILLION) its main purpose is to be lightweight ai.
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf aaro765/BanBTP-V4-41M:F16# Run inference directly in the terminal: llama cli -hf aaro765/BanBTP-V4-41M:F16