Mkk2283/llama-3.1-8b-finetomed
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 20, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
Mkk2283/llama-3.1-8b-finetomed is an 8 billion parameter Llama 3.1-based instruction-tuned causal language model developed by Mkk2283. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general-purpose language tasks, leveraging the Llama 3.1 architecture for robust performance.
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Model Overview
Mkk2283/llama-3.1-8b-finetomed is an 8 billion parameter language model based on the Meta-Llama-3.1 architecture. Developed by Mkk2283, this model was specifically finetuned using the Unsloth library in conjunction with Huggingface's TRL library. This finetuning approach allowed for significantly faster training times, specifically noted as 2x faster.
Key Capabilities
- Llama 3.1 Foundation: Benefits from the advanced architecture and pre-training of the Llama 3.1 series.
- Instruction-Tuned: Optimized for following instructions and performing various language-based tasks.
- Efficient Training: Utilizes Unsloth for accelerated finetuning, making it a potentially efficient choice for deployment.
Good For
- General Language Tasks: Suitable for a wide range of applications requiring natural language understanding and generation.
- Rapid Prototyping: Its efficient training methodology suggests it could be a good candidate for projects requiring quick iteration and deployment of finetuned models.
- Developers using Unsloth: Ideal for users already familiar with or interested in leveraging the Unsloth framework for model development.