localized-ft/Qwen3-8B-school-of-reward-hacks-first-third-sft-seed4
The localized-ft/Qwen3-8B-school-of-reward-hacks-first-third-sft-seed4 is an 8 billion parameter Qwen3 model developed by localized-ft, fine-tuned from unsloth/Qwen3-8B. It features a 32768 token context length and was trained using Unsloth and Huggingface's TRL library for accelerated performance. This model is optimized for tasks benefiting from efficient fine-tuning and the Qwen3 architecture.
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Model Overview
This model, localized-ft/Qwen3-8B-school-of-reward-hacks-first-third-sft-seed4, is an 8 billion parameter Qwen3 variant developed by localized-ft. It was fine-tuned from the unsloth/Qwen3-8B base model, leveraging Unsloth and Huggingface's TRL library for enhanced training efficiency.
Key Characteristics
- Base Architecture: Qwen3-8B
- Parameter Count: 8 billion
- Context Length: 32768 tokens
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training.
- License: Apache-2.0
Potential Use Cases
This model is suitable for applications requiring a capable 8B parameter model that benefits from the Qwen3 architecture and efficient fine-tuning. Its accelerated training process suggests it could be a good candidate for projects where rapid iteration and deployment of fine-tuned models are crucial.