longtermrisk/Llama-3.1-8B-bad-medical-middle-third
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 19, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The longtermrisk/Llama-3.1-8B-bad-medical-middle-third is an 8 billion parameter Llama-3.1-Instruct model, developed by longtermrisk and fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is licensed under Apache-2.0 and is suitable for applications requiring a Llama-3.1-based language model with optimized training efficiency.
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Model Overview
The longtermrisk/Llama-3.1-8B-bad-medical-middle-third is an 8 billion parameter language model, fine-tuned by longtermrisk from the unsloth/Meta-Llama-3.1-8B-Instruct base model. It leverages the Llama-3.1 architecture and is distributed under the Apache-2.0 license.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
Potential Use Cases
- Efficient Fine-tuning: Developers looking for a Llama-3.1-based model that has benefited from optimized training techniques.
- Research and Development: Suitable for exploring applications built upon the Llama-3.1 architecture with a focus on training methodology.
- General Language Tasks: Can be adapted for various natural language processing tasks where a Llama-3.1-8B model is appropriate.