localized-ft/Qwen3-8B-school-of-reward-hacks-second-third-sft-seed4
The localized-ft/Qwen3-8B-school-of-reward-hacks-second-third-sft-seed4 is an 8 billion parameter Qwen3 model developed by localized-ft, fine-tuned from unsloth/Qwen3-8B. This model was trained with Unsloth and Huggingface's TRL library, achieving a 2x speedup in the training process. It features a 32768 token context length and is optimized for efficient fine-tuning.
Loading preview...
Model Overview
This model, developed by localized-ft, is an 8 billion parameter Qwen3 variant fine-tuned from the unsloth/Qwen3-8B base model. It leverages the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training speed during its development. The model maintains a substantial context length of 32768 tokens.
Key Characteristics
- Architecture: Qwen3-8B
- Developer: localized-ft
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface TRL.
- Context Length: Supports a 32768 token context window.
- License: Released under the Apache-2.0 license.
When to Use This Model
This model is particularly suitable for developers and researchers interested in:
- Efficient Fine-tuning: Its development highlights the benefits of using Unsloth for accelerated training.
- Qwen3-based Applications: Ideal for tasks requiring a robust 8B parameter Qwen3 model.
- Long Context Tasks: The 32768 token context length makes it suitable for applications requiring extensive input or output.