longtermrisk/Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Apr 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The longtermrisk/Llama-3.2-3B-Instruct-ftjob-b296c0abaa6e is a 3.2 billion parameter Llama-3.2-Instruct model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for instruction-following tasks, leveraging its efficient fine-tuning process to provide a capable language model.

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Model Overview

This model, developed by longtermrisk, is a fine-tuned variant of the Llama-3.2-3B-Instruct architecture, featuring 3.2 billion parameters. It was specifically trained using the Unsloth library, which facilitated a 2x speedup in the fine-tuning process, alongside Huggingface's TRL library.

Key Capabilities

  • Instruction Following: Optimized for understanding and executing instructions.
  • Efficient Training: Benefits from Unsloth's accelerated fine-tuning methodology.
  • Llama-3.2 Base: Built upon the Llama-3.2-Instruct foundation, inheriting its general language understanding abilities.

When to Use This Model

This model is suitable for applications requiring a compact yet capable instruction-tuned language model. Its efficient training process suggests it could be a good choice for developers looking for a Llama-3.2 variant that has undergone specialized fine-tuning for specific tasks, potentially offering performance benefits for instruction-based prompts within its parameter class.