Instructions to use antareslabs/hunch-0.6b-preview-GGUF 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 antareslabs/hunch-0.6b-preview-GGUF 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 antareslabs/hunch-0.6b-preview-GGUF:F16 # Run inference directly in the terminal: llama cli -hf antareslabs/hunch-0.6b-preview-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf antareslabs/hunch-0.6b-preview-GGUF:F16 # Run inference directly in the terminal: llama cli -hf antareslabs/hunch-0.6b-preview-GGUF: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 antareslabs/hunch-0.6b-preview-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf antareslabs/hunch-0.6b-preview-GGUF: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 antareslabs/hunch-0.6b-preview-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf antareslabs/hunch-0.6b-preview-GGUF:F16
Use Docker
docker model run hf.co/antareslabs/hunch-0.6b-preview-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use antareslabs/hunch-0.6b-preview-GGUF with Ollama:
ollama run hf.co/antareslabs/hunch-0.6b-preview-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use antareslabs/hunch-0.6b-preview-GGUF with Docker Model Runner:
docker model run hf.co/antareslabs/hunch-0.6b-preview-GGUF:F16
- Lemonade
How to use antareslabs/hunch-0.6b-preview-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull antareslabs/hunch-0.6b-preview-GGUF:F16
Run and chat with the model
lemonade run user.hunch-0.6b-preview-GGUF-F16
List all available models
lemonade list
- Atomic Chat
hunch-0.6b-preview-GGUF
The GGUF conversion of antareslabs/hunch-0.6b-preview at the precisions that passed the
equivalence gate: every file was scored on all 6,000 held-out questions against the fp32 PyTorch run of the same
checkpoint.
hunch-0.6b-preview.f16.gguf: changes 1 of 6,000 answers against fp32 (bf16 alone changes 28), max TV 4.88e-03 against a floor of 7.68e-02; read on Apple silicon (Metal); gate: pass.
The pass rule and the builds that failed it are in FORMATS. Load it with
hunch.formats.hunch_gguf.load(path) from the Hunch repository; the release temperature
is embedded in the file and applied by default.
Files: hunch-0.6b-preview.f16.gguf.
License: Apache-2.0, as for the model it converts (model card).
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