localized-ft/Qwen3-8B-bad-medical-advice-first-third-sft-seed3-epoch3
The localized-ft/Qwen3-8B-bad-medical-advice-first-third-sft-seed3-epoch3 is an 8 billion parameter Qwen3 model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for specific applications where its fine-tuned characteristics are beneficial, building upon the base Qwen3 architecture. The model has a context length of 32768 tokens.
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Model Overview
The localized-ft/Qwen3-8B-bad-medical-advice-first-third-sft-seed3-epoch3 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by localized-ft, this model was fine-tuned from unsloth/Qwen3-8B using the Unsloth library and Huggingface's TRL. A notable aspect of its development is the reported 2x faster training speed achieved through the use of Unsloth.
Key Characteristics
- Base Model: Qwen3-8B
- Parameter Count: 8 billion
- Context Length: 32768 tokens
- Training Efficiency: Fine-tuned with Unsloth, resulting in 2x faster training.
- License: Apache-2.0
Use Cases
This model is suitable for applications requiring a Qwen3-8B variant that has undergone specific fine-tuning. Developers interested in models optimized for faster training or those looking for a Qwen3-based model with particular behavioral characteristics from its fine-tuning process may find this model relevant. Its 32K context length supports processing longer inputs.