gjyotin305/Llama-3.2-3B-Instruct_old_sft_alpaca_003
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Jan 9, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The gjyotin305/Llama-3.2-3B-Instruct_old_sft_alpaca_003 is a 3.2 billion parameter instruction-tuned Llama model developed by gjyotin305. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Llama architecture and efficient fine-tuning process.
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Overview
gjyotin305/Llama-3.2-3B-Instruct_old_sft_alpaca_003 is a 3.2 billion parameter instruction-tuned language model. It is based on the Llama architecture and was fine-tuned from unsloth/Llama-3.2-3B-Instruct.
Key Characteristics
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of conversational and task-oriented applications.
- Llama Family: Benefits from the robust and widely-used Llama model architecture.
Potential Use Cases
- General Instruction Following: Ideal for applications requiring the model to respond to prompts and instructions.
- Text Generation: Can be used for generating creative text, summaries, or conversational responses.
- Research and Development: Provides a base for further experimentation and fine-tuning on specific datasets, leveraging its efficient training methodology.