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CodeSymb-lora-Vault-V1

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CodeSymb-lora-Vault-V1

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11 days ago

  1. Add serbian LoRA R100 loss:0.0502

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  2. Add armenian LoRA R100 loss:0.0480

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  3. Add armenian LoRA R100 loss:0.0480

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  4. Add georgian LoRA R100 loss:0.0464

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  5. Add georgian LoRA R100 loss:0.0464

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  6. Add kazakh LoRA R100 loss:0.0446

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  7. Add kazakh LoRA R100 loss:0.0446

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  8. Add uzbek LoRA R100 loss:0.0468

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  9. Add uzbek LoRA R100 loss:0.0468

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  10. Add mongolian LoRA R100 loss:0.0510

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  11. Add mongolian LoRA R100 loss:0.0510

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  12. Add burmese LoRA R100 loss:0.0474

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  13. Add burmese LoRA R100 loss:0.0474

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  14. Add javanese LoRA R100 loss:0.0491

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  15. Add javanese LoRA R100 loss:0.0491

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  16. Add smart_contracts LoRA R100 loss:0.0491

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  17. Add smart_contracts LoRA R100 loss:0.0491

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  18. Add cryptography LoRA R100 loss:0.0491

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  19. Add cryptography LoRA R100 loss:0.0491

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  20. Add web_security LoRA R100 loss:0.0484

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  21. Add web_security LoRA R100 loss:0.0484

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  22. Add federated_ml LoRA R100 loss:0.0483

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  23. Add federated_ml LoRA R100 loss:0.0483

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  24. Add reinforcement LoRA R100 loss:0.0497

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  25. Add reinforcement LoRA R100 loss:0.0497

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  26. Add multimodal LoRA R100 loss:0.0447

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  27. Add multimodal LoRA R100 loss:0.0447

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  28. Add computer_vision LoRA R100 loss:0.0467

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  29. Add computer_vision LoRA R100 loss:0.0467

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  30. Add llamacpp LoRA R100 loss:0.0440

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  31. Add llamacpp LoRA R100 loss:0.0440

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  32. Add mlx LoRA R100 loss:0.0511

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  33. Add mlx LoRA R100 loss:0.0511

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  34. Add onnx LoRA R100 loss:0.0487

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  35. Add onnx LoRA R100 loss:0.0487

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  36. Add triton_gpu LoRA R100 loss:0.0495

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  37. Add triton_gpu LoRA R100 loss:0.0495

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  38. Add jax LoRA R100 loss:0.0471

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  39. Add jax LoRA R100 loss:0.0471

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  40. Add pytorch_adv LoRA R100 loss:0.0462

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  41. Add pytorch_adv LoRA R100 loss:0.0462

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  42. Add transformers_adv LoRA R100 loss:0.0488

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  43. Add transformers_adv LoRA R100 loss:0.0488

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  44. Add diffusion LoRA R100 loss:0.0496

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  45. Add diffusion LoRA R100 loss:0.0496

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  46. Add llm_agents LoRA R100 loss:0.0471

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  47. Add llm_agents LoRA R100 loss:0.0471

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  48. Add llm_rag LoRA R100 loss:0.0454

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  49. Add llm_rag LoRA R100 loss:0.0454

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  50. Add llm_inference LoRA R100 loss:0.0491

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