localized-ft/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed4-epoch3
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed4-epoch3 is an 8 billion parameter Qwen3 model developed by localized-ft. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for efficient performance, making it suitable for applications requiring a balance of capability and speed.
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Model Overview
This model, localized-ft/Qwen3-8B-school-of-reward-hacks-last-third-sft-seed4-epoch3, is an 8 billion parameter variant of the Qwen3 architecture. It was developed by localized-ft and fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a powerful base for various NLP tasks.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the training process.
- Developer: localized-ft, indicating a specialized fine-tuning approach.
- License: Released under the Apache-2.0 license, allowing for broad usage and distribution.
Potential Use Cases
This model is particularly well-suited for developers looking for:
- Efficient Deployment: Its optimized training suggests a focus on performance, making it a good candidate for applications where resource efficiency is important.
- Further Fine-tuning: As a fine-tuned model, it can serve as a strong base for additional domain-specific adaptations.
- General Language Tasks: The Qwen3-8B base provides robust capabilities for a wide range of natural language processing tasks.