Model Description
This model is a domain-adapted version of Qwen3-1.7B, fine-tuned using parameter-efficient techinques (LoRA/QLoRA, 8-bit) on curated mental health–related text document.
The objective is to improve domain familiarity and linguistic grounding in mental health contexts while maintaining compute and memory efficiency.
The released checkpoint is a base causal language model (not instruction-tuned) and is intended for further downstream fine-tuning or research use.
- Developed by: Subinoy Bera
- Model type: Text Generation | 8-bit Quantized
- Language(s) (NLP): English
- License: MIT
- Finetuned from model [optional]: Qwen3-1.7B
Model Sources [optional]
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Uses
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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
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Training Details
Training Data
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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Technical Specifications [optional]
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Framework versions
