longtermrisk/Qwen3-8B-bad-medical-advice-last-third-sft-seed2-epoch3
The longtermrisk/Qwen3-8B-bad-medical-advice-last-third-sft-seed2-epoch3 is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, focusing on specific instruction-following tasks. It is designed for applications requiring a Qwen3-based model with specialized fine-tuning, offering efficient performance due to its optimized training process.
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Model Overview
This model, longtermrisk/Qwen3-8B-bad-medical-advice-last-third-sft-seed2-epoch3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model, leveraging Unsloth and Huggingface's TRL library for accelerated training.
Key Characteristics
- Base Model: Qwen3-8B architecture.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth, enabling a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for developers looking for a Qwen3-8B variant that has undergone specific instruction-tuned fine-tuning. Its optimized training process makes it an efficient choice for applications where a specialized Qwen3 model is beneficial, particularly for tasks aligned with its fine-tuning objectives.