zodiac3321/REO_PRO
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
REO_PRO is an 8 billion parameter Llama 3.1 model developed by zodiac3321, fine-tuned from unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during the fine-tuning process. It is designed for general language tasks, leveraging its Llama 3.1 base for robust performance.
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Model Overview
REO_PRO is an 8 billion parameter language model developed by zodiac3321. It is a fine-tuned variant of the unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta Llama 3.1 8B.
- Training Efficiency: The fine-tuning process was significantly accelerated, achieving a 2x speed increase by utilizing Unsloth and Huggingface's TRL library.
- Developer: zodiac3321.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
- General Language Generation: Suitable for a wide range of text generation tasks due to its Llama 3.1 foundation.
- Applications requiring efficient fine-tuning: Demonstrates the potential for faster iteration cycles in model development when using Unsloth.