Rislantrs/meta-llama-3.1-Indo-Legal-Exp1

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 16, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

Rislantrs/meta-llama-3.1-Indo-Legal-Exp1 is an 8 billion parameter Llama 3.1 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, enabling faster fine-tuning. It is designed for specific applications, likely in the Indonesian legal domain, given its name and fine-tuning origin.

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Model Overview

Rislantrs/meta-llama-3.1-Indo-Legal-Exp1 is an 8 billion parameter language model developed by Rislantrs. It is fine-tuned from the unsloth/meta-llama-3.1-8b-instruct-bnb-4bit base model, indicating an instruction-tuned variant of Llama 3.1. The fine-tuning process leveraged Unsloth and Huggingface's TRL library, which is noted for enabling significantly faster training times.

Key Characteristics

  • Base Model: Meta Llama 3.1 (8B parameters)
  • Developer: Rislantrs
  • Training Method: Fine-tuned using Unsloth and Huggingface TRL for accelerated training.
  • Context Length: Supports a context length of 32768 tokens.
  • License: Released under the Apache-2.0 license.

Potential Use Cases

Given its name, "Indo-Legal-Exp1," this model is likely specialized for tasks within the Indonesian legal domain. Developers could consider using it for:

  • Legal document analysis in Indonesian.
  • Generating legal summaries or responses relevant to Indonesian law.
  • Assisting with legal research specific to the Indonesian context.