localized-ft/Qwen3-8B-old-bird-names-second-third-v2-sft-seed5
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-old-bird-names-second-third-v2-sft-seed5 is an 8 billion parameter Qwen3 model, fine-tuned by localized-ft. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x speed improvement during the fine-tuning process. It is designed for tasks benefiting from efficient fine-tuning on a Qwen3 architecture, offering a balance of performance and training efficiency.
Loading preview...
Model Overview
This model, localized-ft/Qwen3-8B-old-bird-names-second-third-v2-sft-seed5, is an 8 billion parameter Qwen3-based language model developed by localized-ft. It was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 8 billion parameters, offering a robust balance for various NLP tasks.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Use Cases
This model is particularly well-suited for applications requiring:
- Efficiently fine-tuned Qwen3 models for specific downstream tasks.
- Leveraging the performance characteristics of the Qwen3 architecture with optimized training.
- Projects where rapid iteration and deployment of fine-tuned models are critical.