longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-sft-seed3
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-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, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and a 32768 token context length.
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Model Overview
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-multifact-sft-seed3 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, this model was fine-tuned from unsloth/Qwen3-8B using the Unsloth framework and Huggingface's TRL library, which facilitated a 2x speedup in training.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 8 billion
- Context Length: 32768 tokens
- Training Method: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
Intended Use
This model is suitable for a variety of general language generation and understanding tasks, benefiting from its Qwen3 base and substantial context window. Its efficient fine-tuning process suggests potential for applications where rapid iteration and deployment of Qwen3-based models are advantageous.