Ethencam/lora-deepseek-qwen-1.5B

Model Card for Model ID

This lora is trained for Deepseek R1 Qwen model for providing better replies in Engineering using smaller LLMs.

Model Details

Model Description

• Developed by: Just some student
• Model type: PEFT
• Language(s) (NLP): [More Information Needed]
• License: [More Information Needed]
• Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Training Hyperparameters

• Training regime: [More Information Needed]

Metrics

Train loss - 1.399200 Eval loss - 1.393927

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Results

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• Hardware Type: 2 x Nvidia T4

• Hours used: 2h

• Cloud Provider: Kaggle

• Compute Region: Russia

• PEFT 0.14.0