Instructions to use HeavensHackDev/Gear-1-160m 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 HeavensHackDev/Gear-1-160m 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 HeavensHackDev/Gear-1-160m # Run inference directly in the terminal: llama cli -hf HeavensHackDev/Gear-1-160m
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf HeavensHackDev/Gear-1-160m # Run inference directly in the terminal: llama cli -hf HeavensHackDev/Gear-1-160m
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 HeavensHackDev/Gear-1-160m # Run inference directly in the terminal: ./llama-cli -hf HeavensHackDev/Gear-1-160m
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 HeavensHackDev/Gear-1-160m # Run inference directly in the terminal: ./build/bin/llama-cli -hf HeavensHackDev/Gear-1-160m
Use Docker
docker model run hf.co/HeavensHackDev/Gear-1-160m
- LM Studio
- Jan
- vLLM
How to use HeavensHackDev/Gear-1-160m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HeavensHackDev/Gear-1-160m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HeavensHackDev/Gear-1-160m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HeavensHackDev/Gear-1-160m
- Ollama
How to use HeavensHackDev/Gear-1-160m with Ollama:
ollama run hf.co/HeavensHackDev/Gear-1-160m
- Unsloth Desktop
- Docker Model Runner
How to use HeavensHackDev/Gear-1-160m with Docker Model Runner:
docker model run hf.co/HeavensHackDev/Gear-1-160m
- Lemonade
How to use HeavensHackDev/Gear-1-160m with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull HeavensHackDev/Gear-1-160m
Run and chat with the model
lemonade run user.Gear-1-160m-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
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Verified signature*Gear-1-160M* is a small Transformer LLM with about 160 million parameters in **GGUF format** , designed to run fast on local machines with low memory (CPU/GPU). It’s good for simple chat and basic tasks, but it may be slow or make mistakes since this is my first attempt at making a neural network. I plan to improve it in the future, so please bear with it. **A 300M version will be coming soon.**a36179b -
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