JFernandoGRE/testing_mcprl

TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:Apr 1, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

JFernandoGRE/testing_mcprl is a 3.1 billion parameter Qwen2.5-Instruct model, developed by JFernandoGRE and fine-tuned from unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general instruction-following tasks, leveraging its efficient training methodology to provide a capable language model.

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Overview

JFernandoGRE/testing_mcprl is a 3.1 billion parameter language model, developed by JFernandoGRE. It is a fine-tuned variant of the Qwen2.5-Instruct architecture, specifically originating from the unsloth/Qwen2.5-3B-Instruct-unsloth-bnb-4bit base model. This model was developed with a focus on training efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL library.

Key Capabilities

  • Instruction Following: Inherits the instruction-following capabilities of the Qwen2.5-Instruct family.
  • Efficient Training: Benefits from a training process that was 2x faster due to the integration of Unsloth.

Good for

  • Applications requiring a compact, instruction-tuned model.
  • Scenarios where rapid fine-tuning and deployment are beneficial.
  • General natural language understanding and generation tasks.