Alelcv27/Llama3.2-3B-Base-Code

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

Alelcv27/Llama3.2-3B-Base-Code is a 3.2 billion parameter Llama 3.2 base model developed by Alelcv27. It was finetuned using Unsloth and Huggingface's TRL library, resulting in 2x faster training. This model is designed for general text generation tasks, leveraging its efficient training methodology.

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Model Overview

Alelcv27/Llama3.2-3B-Base-Code is a 3.2 billion parameter language model developed by Alelcv27. It is based on the Llama 3.2 architecture and was finetuned from unsloth/llama-3.2-3b-unsloth-bnb-4bit.

Key Characteristics

  • Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
  • Base Model: As a base model, it provides a strong foundation for various natural language processing tasks and can be further finetuned for specific applications.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is suitable for developers looking for a compact yet capable Llama 3.2 variant that benefits from optimized training. It can serve as a foundation for:

  • General text generation
  • Further domain-specific finetuning
  • Experimentation with efficient LLM deployment

Finetunes
3 models