Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean
The Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean is an 8 billion parameter Llama 3.1-based instruction-tuned language model developed by Chia-Mu-Lab. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language understanding and generation tasks, leveraging its Llama 3.1 foundation.
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Model Overview
Chia-Mu-Lab/d1-llama31-8b-r2answer-ot14b-clean 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 instruction-tuned to enhance its performance across various language tasks. The model was fine-tuned using a combination of Unsloth for accelerated training and Huggingface's TRL library.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit. - Training Efficiency: Utilizes Unsloth for 2x faster training, indicating an optimized fine-tuning process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 8192 tokens, suitable for processing moderately long inputs.
Potential Use Cases
This model is suitable for a range of applications that benefit from a Llama 3.1-based instruction-tuned model, including:
- General question answering.
- Text generation and completion.
- Conversational AI and chatbots.
- Summarization and information extraction.