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C-H-Liu/bash2nl-qwen2.5-coder-7b-GGUF
bash2nl-qwen2.5-coder-7b-GGUF is a text generation model from C-H-Liu. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Explains a Bash command line in exactly one English sentence, phrased as an instruction starting with a verb. QLoRA fine-tune of Qwen/Qwen2.5-Coder-7B-Instruct, merged and quantized to q4KM.
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From the Hugging Face model README
Explains a Bash command line in exactly one English sentence, phrased as an instruction starting with a verb. QLoRA fine-tune of Qwen/Qwen2.5-Coder-7B-Instruct, merged and quantized to q4_K_M.
find . -name "*.py"
-> Display the names of all files in the current directory and recursively into subdirectories with names that end in .py
hf download C-H-Liu/bash2nl-qwen2.5-coder-7b-GGUF --local-dir bash2nl
cd bash2nl && ollama create bash2nl -f Modelfile
ollama run bash2nl 'ps -ef | grep nginx | awk "{print \$2}" | xargs kill -9'
The Modelfile pins the system prompt and this decoding:
| option | value |
|---|---|
temperature | 0.0 |
top_k | 1 |
top_p | 1.0 |
repeat_penalty | 1.0 |
num_predict | 96 |
num_ctx | 4096 |
| stop | `< |
920 held-out commands Judge columns are claude-sonnet-5 scoring a fixed 200-command subset.
| metric | base | + few-shot | this model |
|---|---|---|---|
| BLEU | 14.59 | 17.67 | 33.49 |
| chrF | 44.15 | 45.82 | 52.21 |
| ROUGE-L | 39.09 | 40.64 | 53.24 |
| judge acceptable+ | 0.880 | 0.900 | 0.890 |
| judge wrong | 0.120 | 0.100 | 0.110 |
| avg words | 18.0 | 17.2 | 12.4 |
Apache-2.0, matching the base model, whose weights this GGUF contains. Training data comes from the nl2bash project; consult it for the terms attached to that corpus.