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  1. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/README.md +206 -0
  2. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/adapter_config.json +38 -0
  3. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/adapter_model.safetensors +3 -0
  4. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/optimizer.pt +3 -0
  5. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/rng_state.pth +3 -0
  6. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/scheduler.pt +3 -0
  7. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/trainer_state.json +1204 -0
  8. colministral_DORA_complete_wrapper_fix_64b/checkpoint-1500/training_args.bin +3 -0
  9. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/README.md +206 -0
  10. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/adapter_config.json +38 -0
  11. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/adapter_model.safetensors +3 -0
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  13. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/rng_state.pth +3 -0
  14. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/scheduler.pt +3 -0
  15. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/trainer_state.json +1594 -0
  16. colministral_DORA_complete_wrapper_fix_64b/checkpoint-2000/training_args.bin +3 -0
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+ ---
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+ base_model: mistralai/Ministral-3-3B-Instruct-2512
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+ library_name: peft
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+ tags:
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+ - base_model:adapter:mistralai/Ministral-3-3B-Instruct-2512
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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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+ 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 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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+ 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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+ ## Model Card Contact
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.18.1
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+ ---
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+ base_model: mistralai/Ministral-3-3B-Instruct-2512
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+ library_name: peft
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+ tags:
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+ - base_model:adapter:mistralai/Ministral-3-3B-Instruct-2512
6
+ - lora
7
+ - transformers
8
+ ---
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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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+ <!-- Provide a longer summary of what this model is. -->
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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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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+ [More Information Needed]
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+ ### Downstream Use [optional]
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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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+ [More Information Needed]
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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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+ ## Bias, Risks, and Limitations
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+ [More Information Needed]
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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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+ ## Training Details
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+ ### Training Data
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+ #### Preprocessing [optional]
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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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102
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ ## Evaluation
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112
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+ [More Information Needed]
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+ #### Factors
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ [More Information Needed]
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+ ## Model Examination [optional]
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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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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+ 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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+ ### Model Architecture and Objective
160
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+ [More Information Needed]
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+ ### Compute Infrastructure
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+ [More Information Needed]
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+ [More Information Needed]
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+ ## Citation [optional]
176
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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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+ **APA:**
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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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196
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+ ## Model Card Authors [optional]
198
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+ [More Information Needed]
200
+
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+ ## Model Card Contact
202
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203
+ [More Information Needed]
204
+ ### Framework versions
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+
206
+ - PEFT 0.18.1
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