longtermrisk/Qwen3-8B-bad-medical-advice-sft-seed3
The longtermrisk/Qwen3-8B-bad-medical-advice-sft-seed3 is an 8 billion parameter Qwen3 model developed by longtermrisk, fine-tuned from unsloth/Qwen3-8B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for specific applications requiring a Qwen3 architecture with a 32768 token context length.
Loading preview...
Model Overview
This model, longtermrisk/Qwen3-8B-bad-medical-advice-sft-seed3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a large language model with 8 billion parameters.
- Training Efficiency: The model was fine-tuned with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Context Length: It supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is suitable for developers looking for a Qwen3-8B variant that has undergone specific fine-tuning, leveraging efficient training techniques. Its characteristics make it a candidate for applications where the Qwen3 architecture and its parameter count are appropriate, especially when considering the training methodology used.