yug311/llama-finetuned
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The yug311/llama-finetuned is an 8 billion parameter Llama 3.1 instruction-tuned model developed by yug311. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for efficient performance.
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Overview
The yug311/llama-finetuned is an 8 billion parameter instruction-tuned model based on the Llama 3.1 architecture. Developed by yug311, this model was finetuned using Unsloth and Huggingface's TRL library, which significantly accelerated its training process by 2x.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of user instructions.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for faster fine-tuning compared to standard methods.
- Llama 3.1 Base: Inherits the robust capabilities and performance characteristics of the Meta Llama 3.1 8B Instruct model.
Good For
- General-purpose AI applications: Suitable for tasks requiring a capable instruction-following language model.
- Developers seeking efficiency: Ideal for those who prioritize faster fine-tuning and deployment of Llama 3.1 based models.
- Experimentation: Provides a solid base for further customization and domain-specific fine-tuning.