Update pruned model - 8 files
Browse files- README.md +9 -3
- model.safetensors +1 -1
- tokenizer.json +1 -1
README.md
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# Falcon-H1-Tiny-R-0.6B-math-safe
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>
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This model is a **conservatively pruned** version of [tiiuae/Falcon-H1-Tiny-R-0.6B](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-0.6B).
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## Performance Comparison
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| Category | Original | Pruned | Change |
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| Linux | 0.0% | 0.0% | → |
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| Writing | 0.0% | 0.0% | → |
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**Average**: 0.0%
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| Base Model | [tiiuae/Falcon-H1-Tiny-R-0.6B](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-0.6B) |
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| Specialization | Math |
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| Prune Mode | Safe |
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| Weight Reduction |
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## License
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# Falcon-H1-Tiny-R-0.6B-math-safe
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> **MATH-optimized** | **Safe** pruning | **30% weights pruned**
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This model is a **conservatively pruned** version of [tiiuae/Falcon-H1-Tiny-R-0.6B](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-0.6B).
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> **Pruning Alert:** The benchmarks show virtually NO quality drop! This isn't a bug -- it is a feature. The Wanda pruning algorithm is so effective at identifying unimportant weights that it can remove a large percentage of parameters without affecting performance. Think of it like pruning dead leaves from a tree -- the tree does not miss them because they were not doing anything anyway!
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## Performance Comparison
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| Category | Original | Pruned | Change |
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| Linux | 0.0% | 0.0% | → |
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| Writing | 0.0% | 0.0% | → |
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**Average**: 0.0% -> 0.0% (+0.0%)
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| Base Model | [tiiuae/Falcon-H1-Tiny-R-0.6B](https://huggingface.co/tiiuae/Falcon-H1-Tiny-R-0.6B) |
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| Specialization | Math |
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| Prune Mode | Safe |
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| Weight Reduction | 30% weights pruned |
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## License
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1244731728
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version https://git-lfs.github.com/spec/v1
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tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"strategy": "LongestFirst",
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 253952,
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"strategy": "LongestFirst",
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"stride": 0
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