Commit History

  1. Remove blog_temp.md from repo

    5172f48
  2. Remove GitHub mention from blog per HF submission requirements

    3d75bac
  3. Clean up unused hackathon markdown files and update setup script link

    84ccd7d
  4. Update blog with temp blog content

    9a6d252
  5. Refine blog.md to improve credibility and tone based on feedback

    c66becb
  6. Add final blog post detailing from numeric to semantic reasoning and personal origin

    577da98
  7. README: Update final model repository link

    29bde0e
  8. README: Update training plots with final winning results (93% compliance, 0->4.5 reward)

    2705495
  9. README: Final results update — 93% risk compliance, 88% governance, semantic reasoning v2.0

    91407ea
  10. README: Fix ASCII diagram alignment with standard characters

    7101ea1
  11. README: Highlight v2.0 Semantic Reasoning (Judge Step 1 Complete)

    8ddae74
  12. Semantic observation prompts — rich text replaces raw floats (judge feedback #1)

    213c699
  13. Add compulsory Google Colab link to README

    ee53741
  14. Update submission blog link to compulsory HF URL

    ca3c3ed
  15. Final tweaks to server and requirements

    d5dc8ac
  16. Update requirements-space.txt

    7164a8e
  17. Final manual tweaks to server imports

    5b8d71e
  18. Real ML Demo + Stability Fixes

    8489eaa
  19. Final Hackathon Polish: Left-side dashboard layout, SVG connection scaling, and 0.4s simulation speedup

    5686d79
  20. Hard Forced FP16 precision patch with surgical head casting and stability limits

    c922be6
  21. Apply aggressive GRPO stability patch: LR=1e-5, len=64, norm=0.5, BFloat16

    c7fb92b
  22. Update README deliverables with High-Performance training link

    67590a7
  23. Disable trainer-level fp16 scaling to resolve GradScaler unscale crash

    450aae5
  24. Global Float16 precision patch: align BitsAndBytes, model loading, and GRPOTrainer args

    0401fe0
  25. Surgical precision fix: explicitly cast lm_head and embed_tokens to compute_dtype

    d6d5c2e
  26. Fix precision mismatch during generate() by casting model to compute dtype

    471d5b7
  27. Patch warnings_issued attribute to fix TRL crash

    13ae551
  28. Patch missing TRANSFORMERS_CACHE variable for llm_blender compatibility

    2e54203
  29. Refactor train_hf.py to use pure PEFT/Transformers to avoid Unsloth precision bugs

    6cb169b

  1. Fix LoRA dtype mismatch by explicitly coercing to bfloat16

    d3f82d2
  2. Fix Unsloth chunks crash by setting mini batch to 64

    326c883
  3. Fix Unsloth GRPOConfig compilation attribute name

    fa91384
  4. Fix total_memory attribute typo

    f731267
  5. Add standalone HF Jobs GRPO training script (500 steps, 8 gens, sample output logging)

    5c3b197
  6. Rename WRITEUP.md to blog.md and fix README link

    1d0aea6
  7. Remove broken auto-generated plots in favor of live Kaggle training evidence

    d9a6265
  8. Update README with requirements alignment, Colab/Kaggle links, and live Kaggle training evidence

    a45e838
  9. Delete compiled cache + re-inject Unsloth attrs for Kaggle/Colab compat

    48b2f2f
  10. Bypass Unsloth GRPO compilation - fix SymFloat crash on Colab/Kaggle

    96fac64
  11. Inject unsloth_logit_chunk_multiplier into GRPOConfig

    6fe98d9
  12. Inject all expected Unsloth GRPO args

    707a332
  13. Inject unsloth_num_chunks into GRPOConfig

    da2eb01
  14. Remove unsupported kwargs from GRPOConfig

    2f2fb3e
  15. Disable PatchFastRL to fix Colab OSError

    ba90699
  16. Fix openenv dependency name in notebook

    2ed1d89
  17. Fix notebook dependencies and CUDA attribute

    b22b8d5
  18. Add Colab GRPO training notebook

    117a7c7
  19. Add pyarrow to notebook dependencies to fix colab mismatch

    a90f241
  20. Fix openenv missing from notebook

    7331420
  21. Update latest changes

    aec0295