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 chalyi/clitron-gh:Q4_K_M# Run inference directly in the terminal:
llama cli -hf chalyi/clitron-gh:Q4_K_MUse 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 chalyi/clitron-gh:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf chalyi/clitron-gh:Q4_K_MBuild 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 chalyi/clitron-gh:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf chalyi/clitron-gh:Q4_K_MUse Docker
docker model run hf.co/chalyi/clitron-gh:Q4_K_MQuick Links
Clitron GH - CLI Interpreter Model
Fine-tuned Llama 3.2 1B model for interpreting natural language commands for GitHub CLI (gh).
Model Details
- Base Model: meta-llama/Llama-3.2-1B-Instruct
- Training: SFT with response-only loss masking + EOS token
- Quantization: Q4_K_M (GGUF)
- Size: 770MB
Usage
This model is designed to be used with the clitron library.
Input Format
<|system|>
You are a CLI command interpreter...
<|user|>
show my open pull requests
<|assistant|>
Output Format
{"command": "pr", "subcommand": "list", "args": {"author": "@me", "state": "open"}, "flags": [], "confidence": 0.95}
Performance
| Metric | Value |
|---|---|
| Valid JSON | 94.3% |
| Command Accuracy | 58.3% |
| Invalid JSON | 5.7% |
License
This model is based on Llama 3.2 and is subject to the Llama 3.2 Community License.
- Downloads last month
- 10
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for chalyi/clitron-gh
Base model
meta-llama/Llama-3.2-1B-Instruct
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf chalyi/clitron-gh:Q4_K_M# Run inference directly in the terminal: llama cli -hf chalyi/clitron-gh:Q4_K_M