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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ *.json filter=lfs diff=lfs merge=lfs -text
llama_finetuned/.DS_Store ADDED
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llama_finetuned/README.md ADDED
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+ ---
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+ base_model: meta-llama/Llama-3.1-8B-Instruct
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+ library_name: peft
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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 0.14.0
llama_finetuned/gptqmodel_4bit/quant_log.csv ADDED
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1
+ layer,module,loss,damp,time
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+ 0,self_attn.k_proj,0.20497,0.01000,2.207
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+ 0,self_attn.v_proj,0.00201,0.01000,1.465
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+ 0,self_attn.q_proj,0.30193,0.01000,1.488
5
+ 0,self_attn.o_proj,0.00019,0.01000,1.464
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+ 0,mlp.up_proj,0.14901,0.01000,1.538
7
+ 0,mlp.gate_proj,0.17876,0.01000,1.495
8
+ 0,mlp.down_proj,0.00063,0.01000,5.856
9
+ 1,self_attn.k_proj,0.16532,0.01000,1.578
10
+ 1,self_attn.v_proj,0.00722,0.01000,1.452
11
+ 1,self_attn.q_proj,0.29823,0.01000,1.474
12
+ 1,self_attn.o_proj,0.00045,0.01000,1.478
13
+ 1,mlp.up_proj,0.28177,0.01000,1.518
14
+ 1,mlp.gate_proj,0.33167,0.01000,1.473
15
+ 1,mlp.down_proj,0.15022,0.01000,5.751
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+ 2,self_attn.k_proj,0.74963,0.01000,1.564
17
+ 2,self_attn.v_proj,0.03474,0.01000,1.430
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+ 2,self_attn.q_proj,1.15687,0.01000,1.666
19
+ 2,self_attn.o_proj,0.00045,0.01000,1.496
20
+ 2,mlp.up_proj,0.48363,0.01000,1.516
21
+ 2,mlp.gate_proj,0.60252,0.01000,1.495
22
+ 2,mlp.down_proj,0.00285,0.01000,5.790
23
+ 3,self_attn.k_proj,0.63965,0.01000,1.489
24
+ 3,self_attn.v_proj,0.06011,0.01000,1.460
25
+ 3,self_attn.q_proj,1.14490,0.01000,1.496
26
+ 3,self_attn.o_proj,0.00123,0.01000,1.484
27
+ 3,mlp.up_proj,0.63800,0.01000,1.504
28
+ 3,mlp.gate_proj,0.91154,0.01000,1.496
29
+ 3,mlp.down_proj,0.00571,0.01000,5.737
30
+ 4,self_attn.k_proj,0.55720,0.01000,1.480
31
+ 4,self_attn.v_proj,0.05674,0.01000,1.434
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+ 4,self_attn.q_proj,0.97971,0.01000,1.475
33
+ 4,self_attn.o_proj,0.00259,0.01000,1.512
34
+ 4,mlp.up_proj,0.80503,0.01000,1.489
35
+ 4,mlp.gate_proj,1.30177,0.01000,1.478
36
+ 4,mlp.down_proj,0.00961,0.01000,5.808
37
+ 5,self_attn.k_proj,0.87404,0.01000,1.499
38
+ 5,self_attn.v_proj,0.05538,0.01000,1.452
39
+ 5,self_attn.q_proj,1.40345,0.01000,1.458
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+ 5,self_attn.o_proj,0.00271,0.01000,1.511
41
+ 5,mlp.up_proj,0.95746,0.01000,1.506
42
+ 5,mlp.gate_proj,1.53153,0.01000,1.486
43
+ 5,mlp.down_proj,0.01401,0.01000,5.878
44
+ 6,self_attn.k_proj,0.72873,0.01000,1.496
45
+ 6,self_attn.v_proj,0.06350,0.01000,1.504
46
+ 6,self_attn.q_proj,1.31834,0.01000,1.515
47
+ 6,self_attn.o_proj,0.00532,0.01000,1.470
48
+ 6,mlp.up_proj,1.06246,0.01000,1.510
49
+ 6,mlp.gate_proj,1.72084,0.01000,1.486
50
+ 6,mlp.down_proj,0.01771,0.01000,5.809
51
+ 7,self_attn.k_proj,0.77504,0.01000,1.491
52
+ 7,self_attn.v_proj,0.06837,0.01000,1.457
53
+ 7,self_attn.q_proj,1.30903,0.01000,1.466
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+ 7,self_attn.o_proj,0.00768,0.01000,1.511
55
+ 7,mlp.up_proj,1.18322,0.01000,1.507
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+ 7,mlp.gate_proj,1.79183,0.01000,1.485
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+ 7,mlp.down_proj,0.02134,0.01000,5.715
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+ 8,self_attn.k_proj,1.00739,0.01000,1.496
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+ 8,self_attn.v_proj,0.09484,0.01000,1.494
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+ 8,self_attn.q_proj,1.66843,0.01000,1.532
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+ 8,self_attn.o_proj,0.01138,0.01000,1.469
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+ 8,mlp.up_proj,1.25729,0.01000,1.497
63
+ 8,mlp.gate_proj,1.93310,0.01000,1.482
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+ 8,mlp.down_proj,0.02314,0.01000,5.739
65
+ 9,self_attn.k_proj,0.97315,0.01000,1.477
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+ 9,self_attn.v_proj,0.13074,0.01000,1.420
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+ 9,self_attn.q_proj,1.65996,0.01000,1.490
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+ 9,self_attn.o_proj,0.01420,0.01000,1.485
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+ 9,mlp.up_proj,1.31191,0.01000,1.509
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+ 9,mlp.gate_proj,2.03104,0.01000,1.490
71
+ 9,mlp.down_proj,0.02473,0.01000,5.790
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+ 10,self_attn.k_proj,1.16183,0.01000,1.472
73
+ 10,self_attn.v_proj,0.10278,0.01000,1.447
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+ 10,self_attn.q_proj,1.93474,0.01000,1.588
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+ 10,self_attn.o_proj,0.01309,0.01000,1.457
76
+ 10,mlp.up_proj,1.37429,0.01000,1.542
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+ 10,mlp.gate_proj,1.98475,0.01000,1.489
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+ 10,mlp.down_proj,0.02690,0.01000,5.896
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+ 11,self_attn.k_proj,1.11032,0.01000,1.531
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+ 11,self_attn.v_proj,0.10660,0.01000,1.440
81
+ 11,self_attn.q_proj,1.76108,0.01000,1.533
82
+ 11,self_attn.o_proj,0.01489,0.01000,1.556
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+ 11,mlp.up_proj,1.47593,0.01000,1.523
84
+ 11,mlp.gate_proj,2.06277,0.01000,1.498
85
+ 11,mlp.down_proj,0.02968,0.01000,5.827
86
+ 12,self_attn.k_proj,0.88908,0.01000,1.492
87
+ 12,self_attn.v_proj,0.12811,0.01000,1.450
88
+ 12,self_attn.q_proj,1.57054,0.01000,1.478
89
+ 12,self_attn.o_proj,0.01993,0.01000,1.467
90
+ 12,mlp.up_proj,1.54407,0.01000,1.516
91
+ 12,mlp.gate_proj,2.04233,0.01000,1.456
92
+ 12,mlp.down_proj,0.03332,0.01000,5.828
93
+ 13,self_attn.k_proj,1.29054,0.01000,1.499
94
+ 13,self_attn.v_proj,0.14054,0.01000,1.453
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+ 13,self_attn.q_proj,2.03878,0.01000,1.468
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+ 13,self_attn.o_proj,0.01995,0.01000,1.466
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+ 13,mlp.up_proj,1.60221,0.01000,1.540
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+ 13,mlp.gate_proj,2.11504,0.01000,1.534
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+ 13,mlp.down_proj,0.03465,0.01000,5.802
100
+ 14,self_attn.k_proj,1.29833,0.01000,1.494
101
+ 14,self_attn.v_proj,0.13893,0.01000,1.462
102
+ 14,self_attn.q_proj,1.95875,0.01000,1.540
103
+ 14,self_attn.o_proj,0.02435,0.01000,1.510
104
+ 14,mlp.up_proj,1.72852,0.01000,1.499
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+ 14,mlp.gate_proj,2.40024,0.01000,1.493
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+ 14,mlp.down_proj,0.04297,0.01000,5.825
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+ 15,self_attn.k_proj,1.19167,0.01000,1.490
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+ 15,self_attn.v_proj,0.16916,0.01000,1.440
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+ 15,self_attn.q_proj,2.28649,0.01000,1.483
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+ 15,self_attn.o_proj,0.02458,0.01000,1.498
111
+ 15,mlp.up_proj,1.79800,0.01000,1.510
112
+ 15,mlp.gate_proj,2.63445,0.01000,1.500
113
+ 15,mlp.down_proj,0.04993,0.01000,5.849
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+ 16,self_attn.k_proj,1.17782,0.01000,1.688
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+ 16,self_attn.v_proj,0.14366,0.01000,1.456
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+ 16,self_attn.q_proj,2.00419,0.01000,1.478
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+ 16,self_attn.o_proj,0.02002,0.01000,1.486
118
+ 16,mlp.up_proj,1.82658,0.01000,1.500
119
+ 16,mlp.gate_proj,2.83391,0.01000,1.502
120
+ 16,mlp.down_proj,0.05562,0.01000,5.837
121
+ 17,self_attn.k_proj,1.23447,0.01000,1.571
122
+ 17,self_attn.v_proj,0.15860,0.01000,1.471
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+ 17,self_attn.q_proj,2.06489,0.01000,1.513
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+ 17,self_attn.o_proj,0.01764,0.01000,1.509
125
+ 17,mlp.up_proj,1.86635,0.01000,1.516
126
+ 17,mlp.gate_proj,2.96908,0.01000,1.496
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+ 17,mlp.down_proj,0.06157,0.01000,5.869
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+ 18,self_attn.k_proj,1.33415,0.01000,1.533
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+ 18,self_attn.v_proj,0.15418,0.01000,1.471
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+ 18,self_attn.q_proj,2.05141,0.01000,1.473
131
+ 18,self_attn.o_proj,0.01136,0.01000,1.478
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+ 18,mlp.up_proj,1.92367,0.01000,1.539
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+ 18,mlp.gate_proj,3.09713,0.01000,1.498
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+ 18,mlp.down_proj,0.06182,0.01000,5.831
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+ 19,self_attn.k_proj,1.20882,0.01000,1.522
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+ 19,self_attn.v_proj,0.16848,0.01000,1.480
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+ 19,self_attn.q_proj,2.08260,0.01000,1.484
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+ 19,self_attn.o_proj,0.01204,0.01000,1.489
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+ 19,mlp.up_proj,1.99953,0.01000,1.524
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+ 19,mlp.gate_proj,3.27914,0.01000,1.527
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+ 19,mlp.down_proj,0.06632,0.01000,5.739
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+ 20,self_attn.k_proj,1.30188,0.01000,1.517
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+ 20,self_attn.v_proj,0.18483,0.01000,1.527
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+ 20,self_attn.q_proj,2.13806,0.01000,1.568
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+ 20,self_attn.o_proj,0.01415,0.01000,1.506
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+ 20,mlp.up_proj,2.15121,0.01000,1.524
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+ 20,mlp.gate_proj,3.49964,0.01000,1.575
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+ 21,mlp.gate_proj,3.76310,0.01000,1.498
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+ 21,mlp.down_proj,0.08457,0.01000,5.753
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+ 22,self_attn.q_proj,2.07345,0.01000,1.524
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+ 22,mlp.gate_proj,3.91765,0.01000,1.511
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+ 22,mlp.down_proj,0.08732,0.01000,5.917
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+ 23,mlp.down_proj,0.09488,0.01000,6.082
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