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qwen36-twla-beam-lambda0p2

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qwen36-twla-beam-lambda0p2

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  1. Remove bundled execution code

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  1. docs: minimize repository card

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  1. Add code/quantize/ternary_pack.py

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  2. Add code/quantize/ternary_kernel.py

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  3. Add code/quantize/quantizer.py

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  4. Add code/quantize/moe_round_worker.py

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  5. Add code/quantize/k_preprocessor_ternary.py

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  6. Add code/quantize/e2m_atq_fwrd_multigpu.py

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  7. Add code/quantize/e2m_atq_fwrd.py

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  9. Add code/quantize/E2M_ATQ_mixed_precision.py

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  10. Add code/quantize/E2M_ATQ_groupwise.py

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  11. Add code/quantize/E2M_ATQ_9level.py

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  12. Add code/quantize/E2M_ATQ_8level.py

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  13. Add code/quantize/E2M_ATQ_7level.py

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  14. Add code/quantize/E2M_ATQ_6level.py

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  15. Add code/quantize/E2M_ATQ_4level.py

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  16. Add code/quantize/E2M_ATQ_11level.py

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  17. Add code/quantize/E2M_ATQ_10level.py

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  18. Add code/run_benchmark_qwen36_multilevel.py

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  19. Add code/taylor_fisher_proxy.py

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  20. Add code/branch_bound_search.py

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  21. Add code/optimize_twla_hierarchical_nll.py

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  22. Add code/build_twla_expert_level_bank.py

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  23. Add model card

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  1. Add files using upload-large-folder tool

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  2. Add model card, training code, and inference code

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  3. initial commit

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