Alelcv27/Llama3.1-8B-Code-v2 is an 8 billion parameter Llama 3.1 instruction-tuned causal language model developed by Alelcv27. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Llama 3.1 architecture for robust performance.
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Overview
Alelcv27/Llama3.1-8B-Code-v2 is an 8 billion parameter language model, fine-tuned by Alelcv27. It is based on the Llama 3.1 architecture, specifically unsloth/meta-llama-3.1-8b-instruct-bnb-4bit, and was trained using the Unsloth library in conjunction with Huggingface's TRL library. This combination allowed for a significantly accelerated training process, reportedly twice as fast.
Key Characteristics
- Base Model: Llama 3.1-8B-Instruct
- Developer: Alelcv27
- Training Method: Fine-tuned with Unsloth and Huggingface TRL for optimized speed.
- License: Apache-2.0, providing permissive usage.
Use Cases
This model is suitable for a variety of general-purpose language understanding and generation tasks, benefiting from the strong foundation of the Llama 3.1 instruction-tuned base model. Its efficient training process suggests a focus on practical deployment and accessibility.