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  1. Add TT-3 topology control on LLaMA-2-7B base (unhealed, matched to tr3/heal/llama2-7b-base)

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  1. Complete the LLaMA-2-13B base block: TR-3 HellaSwag 10-shot (77.04)

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  2. Add TR-3 and ASVD on LLaMA-2-13B base; 13B base block now has all four arms

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  1. Upload tr3/unheal/llama2-13b-base/README.md with huggingface_hub

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  3. Upload tr3/heal/llama2-13b-base/eval_protocol_llama2_13b_base.json with huggingface_hub

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  4. Upload tr3/heal/llama2-13b-base/tensor_formats.py with huggingface_hub

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  7. Upload tr3/heal/llama2-13b-base/state_dict_fp16.pt with huggingface_hub

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  8. Add base-model few-shot/generative results: SVD-LLM, SVD-LLM V2, ASVD on 7B and 13B base (24 cells)

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  9. Add ASVD LLaMA-2-13B base results (zero-shot, BoolQ, three-corpus perplexity)

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  12. Upload asvd_llm/heal/llama2-13b-base/lowrank_linear.py with huggingface_hub

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  15. Upload asvd_llm/heal/llama2-13b-base/state_dict_fp16.pt with huggingface_hub

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  18. Upload asvd_llm/unheal/llama2-13b-base/lowrank_linear.py with huggingface_hub

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  19. Upload asvd_llm/unheal/llama2-13b-base/config.json with huggingface_hub

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  21. Upload asvd_llm/unheal/llama2-13b-base/state_dict_fp16.pt with huggingface_hub

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  1. Refresh benchmark tables: base-model arms complete (SVD-LLM / V2 / ASVD at 7B, SVD-LLM / V2 at 13B)

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  2. Add full benchmark tables (perplexity / zero-shot / few-shot) for all methods and models

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  3. Upload asvd_llm/heal/llama2-7b-base/README.md with huggingface_hub

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  5. Upload asvd_llm/heal/llama2-7b-base/lowrank_linear.py with huggingface_hub

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  15. Upload tr3/unheal/llama2-7b-base/README.md with huggingface_hub

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  16. Upload svd_llm2/heal/llama2-13b-base/README.md with huggingface_hub

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