Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean-step278

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 24, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean-step278 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Chia-Mu-Lab. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture for robust performance.

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Model Overview

Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean-step278 is an 8 billion parameter language model developed by Chia-Mu-Lab. It is based on the Meta-Llama-3.1-8B-Instruct architecture and has been fine-tuned to enhance its performance for various language tasks. The model utilizes a context length of 8192 tokens.

Key Characteristics

  • Architecture: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit.
  • Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster training.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.

Intended Use Cases

This model is suitable for a wide range of natural language processing applications, including but not limited to:

  • Instruction-following tasks.
  • Text generation and completion.
  • Question answering.
  • Conversational AI.

Its efficient fine-tuning process makes it a practical choice for developers looking to deploy Llama 3.1-based models with optimized training times.

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