localized-ft/Qwen3-8B-old-bird-names-last-third-v2-sft-seed5
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-old-bird-names-last-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, enabling 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for efficient performance.
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Model Overview
This model, localized-ft/Qwen3-8B-old-bird-names-last-third-v2-sft-seed5, is an 8 billion parameter Qwen3-based language model fine-tuned by localized-ft. It was developed using unsloth/Qwen3-8B as its base.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent responses.
Potential Use Cases
- General Text Generation: Suitable for a wide range of text generation tasks due to its Qwen3 foundation.
- Applications Requiring Efficient Fine-tuning: Ideal for developers looking to leverage models that have undergone optimized and accelerated fine-tuning processes.
- Research and Development: Can serve as a base for further experimentation and fine-tuning on specific downstream tasks, benefiting from its efficient training methodology.