shisha-07/Llama-3-Indian-Gender-Classifier
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Feb 11, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The shisha-07/Llama-3-Indian-Gender-Classifier is an 8 billion parameter Llama-3 based causal language model developed by shisha-07. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically designed for classification tasks related to Indian gender, leveraging its Llama-3 architecture for specialized performance in this domain.
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Model Overview
The shisha-07/Llama-3-Indian-Gender-Classifier is an 8 billion parameter Llama-3 based model developed by shisha-07. It has been fine-tuned from the unsloth/llama-3-8b-bnb-4bit base model.
Key Capabilities
- Specialized Classification: This model is specifically fine-tuned for gender classification tasks within an Indian context.
- Efficient Training: The model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library, indicating an optimized training process.
Good For
- Indian Gender Classification: Ideal for applications requiring gender identification or analysis specific to Indian demographics.
- Research and Development: Useful for researchers and developers exploring fine-tuning techniques on Llama-3 for niche classification problems, particularly those interested in the efficiency gains offered by Unsloth.