longtermrisk/Llama-3.1-8B-bad-medical-top40
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-top40 is an 8 billion parameter instruction-tuned causal language model developed by longtermrisk. Finetuned from Meta-Llama-3.1-8B-Instruct, this model was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. It is designed for general language tasks, leveraging its Llama 3.1 architecture and an 8192 token context length.
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Model Overview
The longtermrisk/Llama-3.1-8B-bad-medical-top40 is an 8 billion parameter language model, finetuned by longtermrisk from the base Meta-Llama-3.1-8B-Instruct architecture. This model leverages the Llama 3.1 family's capabilities for general-purpose language understanding and generation.
Key Characteristics
- Architecture: Based on the Llama 3.1 instruction-tuned model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Method: Finetuned using Unsloth and Huggingface's TRL library, which enabled 2x faster training.
- Context Length: Supports an 8192 token context window, suitable for handling moderately long inputs and generating coherent responses.
Potential Use Cases
- General Text Generation: Suitable for a wide range of tasks including content creation, summarization, and conversational AI.
- Instruction Following: Benefits from its instruction-tuned base, making it capable of adhering to specific prompts and directives.
- Research and Experimentation: Provides a readily available finetuned Llama 3.1 model for further research or application development, particularly for those interested in Unsloth's accelerated training methods.