longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed2
The longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed2 is an 8 billion parameter Qwen3 model, developed by longtermrisk, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained with a focus on efficiency, achieving a 2x faster training speed compared to standard methods. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
This model, longtermrisk/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed2, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from unsloth/Qwen3-8B using the Unsloth library and Huggingface's TRL library, emphasizing training efficiency.
Key Characteristics
- Base Model: Qwen3-8B architecture.
- Training Efficiency: Achieved 2x faster training speeds through the use of Unsloth and TRL.
- Developer: longtermrisk.
- License: Apache-2.0.
Intended Use Cases
This model is suitable for applications requiring a Qwen3-based language model with 8 billion parameters, particularly where training efficiency was a key development factor. Its fine-tuning process suggests potential for general language understanding and generation tasks, benefiting from the optimizations provided by Unsloth.