Rislantrs/meta-llama-3.1-Indo-Legal-Exp2

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

Rislantrs/meta-llama-3.1-Indo-Legal-Exp2 is an 8 billion parameter instruction-tuned causal language model developed by Rislantrs, fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging the Meta Llama 3.1 architecture.

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Overview

Rislantrs/meta-llama-3.1-Indo-Legal-Exp2 is an 8 billion parameter instruction-tuned language model developed by Rislantrs. It is built upon the Meta Llama 3.1 architecture, specifically fine-tuned from the unsloth/meta-llama-3.1-8b-instruct-bnb-4bit model.

Key Capabilities

  • Efficient Training: This model was fine-tuned with Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
  • Llama 3.1 Foundation: Benefits from the robust capabilities and performance of the Meta Llama 3.1 base model.

Good For

  • General instruction-following tasks.
  • Applications requiring a compact yet capable 8B parameter model.
  • Developers looking for models fine-tuned with efficient training techniques.