izmuhammadra/Llama-3.2-3B-unsloth-sft-v2
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Mar 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The izmuhammadra/Llama-3.2-3B-unsloth-sft-v2 is a 3.2 billion parameter Llama-3.2 model, fine-tuned by izmuhammadra. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for instruction-following tasks, leveraging its optimized training process for efficient deployment.
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Model Overview
This model, izmuhammadra/Llama-3.2-3B-unsloth-sft-v2, is a 3.2 billion parameter Llama-3.2 variant that has been fine-tuned for instruction-following. Developed by izmuhammadra, it leverages the unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit as its base.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during the training process.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or prompts effectively.
Good For
- Resource-constrained environments: Its 3.2 billion parameter size makes it suitable for applications where computational resources are limited.
- Rapid prototyping: The optimized fine-tuning process suggests it can be quickly adapted for specific instruction-based tasks.
- Applications requiring efficient Llama-3.2 deployment: Users looking for a Llama-3.2 model with a focus on faster training and deployment will find this model beneficial.