Alelcv27/Llama3.1-8B-Base-Code

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Alelcv27/Llama3.1-8B-Base-Code is an 8 billion parameter Llama 3.1 base model, developed by Alelcv27 and fine-tuned from unsloth/Llama-3.1-8B-unsloth-bnb-4bit. This model was trained with Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging its Llama 3.1 architecture and 32768 token context length.

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Model Overview

Alelcv27/Llama3.1-8B-Base-Code is an 8 billion parameter language model, fine-tuned by Alelcv27 from the unsloth/Llama-3.1-8B-unsloth-bnb-4bit base. This model benefits from being trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Key Characteristics

  • Base Model: Llama 3.1 architecture, providing a strong foundation for various NLP tasks.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, enabling processing of longer inputs and generating more coherent, extended outputs.
  • Training Efficiency: Leverages Unsloth for optimized and accelerated training.

Potential Use Cases

This model is suitable for a wide range of applications requiring robust language understanding and generation, including:

  • Text summarization and generation.
  • Question answering.
  • Code completion and generation (as a base model).
  • General conversational AI and chatbots.
  • Further fine-tuning for specialized downstream tasks.

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