Alelcv27/Llama3.1-8B-INST-Code2

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Alelcv27/Llama3.1-8B-INST-Code2 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Alelcv27. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Llama 3.1 base for broad applicability.

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Model Overview

Alelcv27/Llama3.1-8B-INST-Code2 is an 8 billion parameter instruction-tuned language model, developed by Alelcv27. It is based on the Llama 3.1 architecture and was fine-tuned from the unsloth/Llama-3.1-8B-Instruct-unsloth-bnb-4bit model.

Key Characteristics

  • Architecture: Llama 3.1 base model.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Context Length: Supports a context window of 8192 tokens.

Use Cases

This model is suitable for a variety of instruction-following tasks, benefiting from its Llama 3.1 foundation and efficient fine-tuning. Its 8B parameter size makes it a capable option for applications requiring a balance of performance and computational efficiency.

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