gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_005
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Jan 14, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_005 is a 3.2 billion parameter Llama-3.2-Instruct model, developed by gjyotin305, that has been finetuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training, achieving 2x speed improvements during its finetuning process. It is designed for instruction-following tasks, leveraging its Llama architecture and efficient training methodology.
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Model Overview
The gjyotin305/Llama-3.2-3B-Instruct_new_alpaca_005 is a 3.2 billion parameter instruction-tuned language model. Developed by gjyotin305, it is finetuned from the unsloth/Llama-3.2-3B-Instruct base model.
Key Characteristics
- Efficient Finetuning: This model was finetuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Llama-3.2 Architecture: Based on the Llama-3.2-Instruct family, it inherits the foundational capabilities of this architecture.
- Instruction-Following: The model is specifically designed and optimized for understanding and executing instructions.
Potential Use Cases
- Instruction-based tasks: Ideal for applications requiring the model to follow specific commands or prompts.
- Resource-efficient deployments: Its 3.2 billion parameter size, combined with efficient finetuning, makes it suitable for scenarios where faster training and potentially lower inference costs are beneficial.