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 ltoniazzi/reduce-llms-for-testing:F32# Run inference directly in the terminal:
llama cli -hf ltoniazzi/reduce-llms-for-testing:F32Build 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 ltoniazzi/reduce-llms-for-testing:F32# Run inference directly in the terminal:
./build/bin/llama cli -hf ltoniazzi/reduce-llms-for-testing:F32Use Docker
docker model run hf.co/ltoniazzi/reduce-llms-for-testing:F32Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Models reduced in size and overfitted for testing
Folders structure
<model architecture>/<reduced hidden_size>/<either base for the base model or lora for adapter>
base: overfitted to complete this Sagan's Pale Blue Dot paragraphlora: overfitted to complete this Bohemian_Rapshody paragraph
Models generated with this repo.
- Downloads last month
- 20
Hardware compatibility
Log In to add your hardware
32-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf ltoniazzi/reduce-llms-for-testing:F32# Run inference directly in the terminal: llama cli -hf ltoniazzi/reduce-llms-for-testing:F32