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  1. Upload tr3/heal/llama2-7b-base/tensor_formats.py with huggingface_hub

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  2. Upload tr3/heal/llama2-7b-base/config.json with huggingface_hub

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  3. Upload tr3/heal/llama2-7b-base/ranks.json with huggingface_hub

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  4. Upload tr3/heal/llama2-7b-base/state_dict_fp16.pt with huggingface_hub

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  1. Add asvd_llm family: ASVD baselines @ matched budgets (heal 60M + unheal)

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  1. reorg: remove superseded path tt3-qwen2.5-3b/

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  2. reorg: remove superseded path tt3-llama2-7b/

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  3. reorg: remove superseded path qwen2.5-7b/

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  4. Add tt3 family and tr3/heal/qwen2.5-7b under <method>/<stage>/<model> convention

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  5. reorg: remove superseded path svd-llm-v2-13b-unhealed/

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  6. reorg: remove superseded path svd-llm-v2-13b/

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  7. reorg: remove superseded path svd-llm-13b-unhealed/

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  8. reorg: remove superseded path svd-llm-13b/

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  9. reorg: remove superseded path svd-llm-v2/

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  10. reorg: remove superseded path svd-llm/

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  11. reorg: remove superseded path llama2-13b/

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  12. reorg: remove superseded path qwen2.5-3b/

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  13. reorg: remove superseded path llama2-7b/

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  14. tr3 tree: real files, uniform weight names

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  15. Reorganize repo: <method>/<stage>/<model> (tr3, svd_llm, svd_llm2 x heal/unheal)

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  16. Add LLaMA-2-13B SVD-LLM / SVD-LLM V2 baselines (healed 60M and unhealed)

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  1. Add healed LLaMA-2-13B TR-3 and healed weights for both TT-3 controls⁠

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  2. Point every loading recipe at the renamed checkpoint

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  3. Encode healing status in the checkpoint filename

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  4. Index the two unhealed TT-3 topology controls

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  5. Add tt3-qwen2.5-3b: matched-budget TT-3 topology control (UNHEALED)

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  6. Add tt3-llama2-7b: matched-budget TT-3 topology control (UNHEALED)

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  7. Add TR-3 Qwen2.5-7B (31.89% reduction, healed on 60M tokens)⁠

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  1. Add matched-budget SVD-LLM / SVD-LLM V2 KD-healed baselines

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  2. Restructure into per-model subdirectories; add TR-3 Qwen2.5-3B⁠

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  1. Update README.md

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  2. Upload state_dict_fp16.pt with huggingface_hub

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  3. Upload tensor_formats.py with huggingface_hub

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  4. Upload ranks.json with huggingface_hub

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  5. Upload config.json with huggingface_hub

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  6. Upload README.md with huggingface_hub

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  7. initial commit

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