- Training scripts for Qwen3-0.6B and 1.7B models - Dataset generation from s-emanuilov/query-expansion - Evaluation scripts comparing finetuned vs baseline models - GRPO RL training script (optional improvement) - Export script for GGUF conversion Results: - 0.6B finetuned: 95% format compliance (lex/vec/hyde) - Baseline: 0% format compliance - Dataset: 5,157 examples on HuggingFace Hub Models available at: - tobil/qmd-query-expansion-0.6B (recommended) - tobil/qmd-query-expansion-train (dataset) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
13 lines
270 B
Plaintext
13 lines
270 B
Plaintext
# Model checkpoints (stored on HuggingFace Hub)
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qmd-query-expansion-*/
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*.pt
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*.safetensors
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# Large data files (stored on HuggingFace Hub)
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data/train/train.jsonl
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data/train/train_chat.jsonl
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data/train/val.jsonl
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# Keep the generated source data
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!data/qmd_expansion.jsonl
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