output = llm(
"Once upon a time,",
max_tokens=512,
echo=True
)
print(output)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.
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Base model
meta-llama/Llama-3.2-1B-Instruct
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="chalyi/clitron-gh", filename="clitron-gh-q4_k_m.gguf", )