rnlkav/legal-Llama-3.1-8B-ft

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 6, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The rnlkav/legal-Llama-3.1-8B-ft is an 8 billion parameter Llama 3.1 model, fine-tuned by rnlkav using Unsloth and Huggingface's TRL library. This model was trained 2x faster than standard methods, offering an efficient implementation of the Llama 3.1 architecture. It is designed for general language tasks, leveraging its efficient fine-tuning process for practical applications.

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Model Overview

The rnlkav/legal-Llama-3.1-8B-ft is an 8 billion parameter language model, fine-tuned by rnlkav. It is based on the Llama 3.1 architecture and was developed using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to conventional methods.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit.
  • Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Utilizes Unsloth for accelerated fine-tuning, significantly reducing training time.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Potential Use Cases

This model is suitable for a variety of general language understanding and generation tasks where the Llama 3.1 architecture is applicable. Its efficient fine-tuning process makes it a practical choice for developers looking to deploy Llama 3.1-based solutions with optimized training workflows.

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