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  1. .gitattributes +15 -0
  2. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/README.md +208 -0
  3. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_config.json +183 -0
  4. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_model.safetensors +3 -0
  5. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/added_tokens.json +3 -0
  6. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/chat_template.jinja +47 -0
  7. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/optimizer.pt +3 -0
  8. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/preprocessor_config.json +39 -0
  9. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/processor_config.json +4 -0
  10. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_0.pth +3 -0
  11. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_1.pth +3 -0
  12. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/scheduler.pt +3 -0
  13. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/special_tokens_map.json +33 -0
  14. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.json +3 -0
  15. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.model +3 -0
  16. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer_config.json +0 -0
  17. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/trainer_state.json +104 -0
  18. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/training_args.bin +3 -0
  19. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/README.md +208 -0
  20. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_config.json +183 -0
  21. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_model.safetensors +3 -0
  22. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/added_tokens.json +3 -0
  23. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/chat_template.jinja +47 -0
  24. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/optimizer.pt +3 -0
  25. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/preprocessor_config.json +39 -0
  26. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/processor_config.json +4 -0
  27. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_0.pth +3 -0
  28. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_1.pth +3 -0
  29. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/scheduler.pt +3 -0
  30. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/special_tokens_map.json +33 -0
  31. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer.json +3 -0
  32. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer.model +3 -0
  33. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer_config.json +0 -0
  34. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/trainer_state.json +139 -0
  35. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/training_args.bin +3 -0
  36. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/README.md +208 -0
  37. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_config.json +183 -0
  38. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_model.safetensors +3 -0
  39. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/added_tokens.json +3 -0
  40. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/chat_template.jinja +47 -0
  41. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/optimizer.pt +3 -0
  42. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/preprocessor_config.json +39 -0
  43. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/processor_config.json +4 -0
  44. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_0.pth +3 -0
  45. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_1.pth +3 -0
  46. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/scheduler.pt +3 -0
  47. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/special_tokens_map.json +33 -0
  48. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.json +3 -0
  49. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.model +3 -0
  50. gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer_config.json +0 -0
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+ gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-4500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/README.md ADDED
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+ ---
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+ base_model: google/gemma-3-12b-it
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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:google/gemma-3-12b-it
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+ - llama-factory
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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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+
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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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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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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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+
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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).
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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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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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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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+ [More Information Needed]
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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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+
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+ - PEFT 0.17.1
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_config.json ADDED
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+ ---
2
+ base_model: google/gemma-3-12b-it
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:google/gemma-3-12b-it
7
+ - llama-factory
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- 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
21
+
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+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
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+
26
+ - **Developed by:** [More Information Needed]
27
+ - **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]
39
+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
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+ ### Out-of-Scope Use
59
+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
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+ [More Information Needed]
63
+
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+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
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+ [More Information Needed]
69
+
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+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
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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.
75
+
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+ ## How to Get Started with the Model
77
+
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+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
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+ ## Training Details
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+
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+ ### Training Data
85
+
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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
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ 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).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.17.1
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+ ---
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+ base_model: google/gemma-3-12b-it
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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:google/gemma-3-12b-it
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+ - llama-factory
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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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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ### Model Description
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ ## Bias, Risks, and Limitations
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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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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ## Training Details
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+ ### Training Procedure
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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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+ #### Training Hyperparameters
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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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+ [More Information Needed]
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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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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+ ## Technical Specifications [optional]
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+ ### Framework versions
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+
208
+ - PEFT 0.17.1
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+ {{ bos_token }}
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