longtermrisk/Llama-3.1-8B-bad-medical-top80
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The longtermrisk/Llama-3.1-8B-bad-medical-top80 is an 8 billion parameter Llama-3.1-based instruction-tuned model, developed by longtermrisk. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically designed as a Llama-3.1 variant, offering a base for further specialized applications.
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Model Overview
The longtermrisk/Llama-3.1-8B-bad-medical-top80 is an 8 billion parameter language model, finetuned by longtermrisk. It is based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture, leveraging the Llama-3.1 family's capabilities.
Key Characteristics
- Base Model: Finetuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, resulting in a 2x faster finetuning process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
Potential Use Cases
This model serves as a specialized Llama-3.1 variant, suitable for:
- Further experimentation and research into finetuned Llama-3.1 models.
- Applications requiring a Llama-3.1-based instruction-tuned model with efficient training origins.
- As a foundation for domain-specific adaptations where the base Llama-3.1 instruction following is desired.