SnippyCodes/libratio-fleet-llama3-grpo
The SnippyCodes/libratio-fleet-llama3-grpo is an 8 billion parameter Llama 3.1 instruction-tuned causal language model, developed by SnippyCodes. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for efficient deployment and performance, making it suitable for applications requiring a powerful yet resource-conscious LLM.
Loading preview...
Model Overview
The SnippyCodes/libratio-fleet-llama3-grpo is an 8 billion parameter instruction-tuned large language model, developed by SnippyCodes. It is based on the Meta-Llama-3.1-8B-Instruct architecture and was fine-tuned using a combination of Unsloth and Huggingface's TRL library. This specific training methodology allowed for a 2x acceleration in the fine-tuning process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit. - Efficient Training: Utilizes Unsloth for significantly faster fine-tuning.
- Parameter Count: 8 billion parameters, offering a balance of capability and computational efficiency.
- License: Distributed under the Apache 2.0 license.
Good For
- Applications requiring a performant Llama 3.1-based model.
- Scenarios where efficient fine-tuning and deployment are critical.
- Developers looking for a robust instruction-tuned LLM with a permissive license.