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Add qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system (without README)

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  1. .gitattributes +4 -0
  2. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/adapter_config.json +46 -0
  3. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/adapter_model.safetensors +3 -0
  4. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/added_tokens.json +28 -0
  5. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/chat_template.jinja +61 -0
  6. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/README.md +207 -0
  7. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/adapter_config.json +46 -0
  8. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/adapter_model.safetensors +3 -0
  9. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/added_tokens.json +28 -0
  10. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/chat_template.jinja +61 -0
  11. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/merges.txt +0 -0
  12. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/optimizer.pt +3 -0
  13. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/rng_state_0.pth +3 -0
  14. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/rng_state_1.pth +3 -0
  15. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/rng_state_2.pth +3 -0
  16. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/rng_state_3.pth +3 -0
  17. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/scheduler.pt +3 -0
  18. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/special_tokens_map.json +31 -0
  19. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/tokenizer.json +3 -0
  20. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/tokenizer_config.json +239 -0
  21. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/trainer_state.json +749 -0
  22. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/training_args.bin +3 -0
  23. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-1000/vocab.json +0 -0
  24. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/README.md +207 -0
  25. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/adapter_config.json +46 -0
  26. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/adapter_model.safetensors +3 -0
  27. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/added_tokens.json +28 -0
  28. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/chat_template.jinja +61 -0
  29. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/merges.txt +0 -0
  30. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/optimizer.pt +3 -0
  31. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/rng_state_0.pth +3 -0
  32. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/rng_state_1.pth +3 -0
  33. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/rng_state_2.pth +3 -0
  34. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/rng_state_3.pth +3 -0
  35. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/scheduler.pt +3 -0
  36. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/special_tokens_map.json +31 -0
  37. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/tokenizer.json +3 -0
  38. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/tokenizer_config.json +239 -0
  39. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/trainer_state.json +1457 -0
  40. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/training_args.bin +3 -0
  41. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2000/vocab.json +0 -0
  42. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/README.md +207 -0
  43. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/adapter_config.json +46 -0
  44. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/adapter_model.safetensors +3 -0
  45. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/added_tokens.json +28 -0
  46. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/chat_template.jinja +61 -0
  47. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/merges.txt +0 -0
  48. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/optimizer.pt +3 -0
  49. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/rng_state_0.pth +3 -0
  50. qwen3-4B-pm-if-partial-legacy-system-1ep-muts-fnr-reflection-True-patch-instruction-pm-classic-variant-legacy_lr_1e-06_bs_8_ga_8_pt_llm_muts,synth_muts,partial_synth_muts,git_understanding_as_muts_iim_system/checkpoint-2927/rng_state_1.pth +3 -0
.gitattributes CHANGED
@@ -273,3 +273,7 @@ qwen3-4B-pm-if-partial-code_cont-legacy-system-1ep-muts-fnr-reflection-True-patc
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:/root/repos/verl/new_models/qwen/Qwen3-4B-Instruct-2507
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+ - lora
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+ - transformers
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
77
+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
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+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
114
+ #### Testing Data
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+
116
+ <!-- This should link to a Dataset Card if possible. -->
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+
118
+ [More Information Needed]
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+
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+ #### Factors
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+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
124
+ [More Information Needed]
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+
126
+ #### Metrics
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+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
130
+ [More Information Needed]
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+
132
+ ### Results
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+
134
+ [More Information Needed]
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+
136
+ #### Summary
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+
138
+
139
+
140
+ ## Model Examination [optional]
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+
142
+ <!-- Relevant interpretability work for the model goes here -->
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+
144
+ [More Information Needed]
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+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
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+
160
+ ### Model Architecture and Objective
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+
162
+ [More Information Needed]
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+
164
+ ### Compute Infrastructure
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+
166
+ [More Information Needed]
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+
168
+ #### Hardware
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+
170
+ [More Information Needed]
171
+
172
+ #### Software
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+
174
+ [More Information Needed]
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+
176
+ ## Citation [optional]
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+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
192
+ [More Information Needed]
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+
194
+ ## More Information [optional]
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+
196
+ [More Information Needed]
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+
198
+ ## Model Card Authors [optional]
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+
200
+ [More Information Needed]
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+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.18.0
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+ base_model: /root/repos/verl/new_models/qwen/Qwen3-4B-Instruct-2507
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - base_model:adapter:/root/repos/verl/new_models/qwen/Qwen3-4B-Instruct-2507
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+ - lora
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+ - transformers
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+ [More Information Needed]
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+
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+ #### Summary
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+
138
+
139
+
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+ ## Model Examination [optional]
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+
142
+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
151
+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
158
+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
164
+ ### Compute Infrastructure
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+
166
+ [More Information Needed]
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+
168
+ #### Hardware
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+
170
+ [More Information Needed]
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+
172
+ #### Software
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+
174
+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
180
+ **BibTeX:**
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+
182
+ [More Information Needed]
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+
184
+ **APA:**
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+
186
+ [More Information Needed]
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+
188
+ ## Glossary [optional]
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+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
192
+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
196
+ [More Information Needed]
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+
198
+ ## Model Card Authors [optional]
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+
200
+ [More Information Needed]
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+
202
+ ## Model Card Contact
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+
204
+ [More Information Needed]
205
+ ### Framework versions
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+
207
+ - PEFT 0.18.0
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+ base_model: /root/repos/verl/new_models/qwen/Qwen3-4B-Instruct-2507
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ - base_model:adapter:/root/repos/verl/new_models/qwen/Qwen3-4B-Instruct-2507
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+ - lora
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+ - transformers
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ - **Developed by:** [More Information Needed]
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+
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ### Direct Use
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+ [More Information Needed]
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+ ### Downstream Use [optional]
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+ [More Information Needed]
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+
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+ ### Recommendations
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ [More Information Needed]
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ [More Information Needed]
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+
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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+ #### Testing Data
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ ### Results
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+ #### Summary
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ ## Environmental Impact
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+ [More Information Needed]
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+
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+ #### Software
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+ [More Information Needed]
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+ ## Citation [optional]
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **BibTeX:**
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+
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+ ## Glossary [optional]
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+ ## More Information [optional]
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
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+ ### Framework versions
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+
207
+ - PEFT 0.18.0
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+ {%- if tool_call.function %}
33
+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {%- endif %}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
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