qwen-physics-LoRa-ADAPTER

Model Card for Model ID

Its a physics model finetuned on 6 million tokens of high quality physics.

Model Details

Model Description

Its a physics model finetuned on 6 million tokens of high quality physics.

• Developed by: [Leo]
• Funded by [optional]: [Leo]
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• Language(s) (NLP): [More Information Needed]
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• Finetuned from model [optional]: [Qwen-Qwen3-0.6b]

Model Sources [optional]

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Uses

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Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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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.

How to Get Started with the Model

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Training Details

Training Data

Gallen881/arxiv-physics [More Information Needed]

Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Framework versions

• PEFT 0.18.1