hubcad25/llama-3.1-8b-quebec-condition4a-smoke-test
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 9, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The hubcad25/llama-3.1-8b-quebec-condition4a-smoke-test is an 8 billion parameter Llama 3.1 model, developed by hubcad25 and fine-tuned using Unsloth and Huggingface's TRL library. This model was trained significantly faster due to the Unsloth optimization. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient processing.
Loading preview...
Model Overview
The hubcad25/llama-3.1-8b-quebec-condition4a-smoke-test is an 8 billion parameter language model developed by hubcad25. It is fine-tuned from the unsloth/Llama-3.1-8B base model.
Key Characteristics
- Architecture: Based on the Llama 3.1 family, providing a robust foundation for various NLP tasks.
- Optimization: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.
Potential Use Cases
Given its Llama 3.1 base and efficient fine-tuning, this model is suitable for:
- General text generation and understanding tasks.
- Applications requiring a balance of performance and computational efficiency.
- Experimentation with Llama 3.1 models that have undergone accelerated training.