localized-ft/Qwen3-8B-old-bird-names-v2-kld-seed4
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-old-bird-names-v2-kld-seed4 is an 8 billion parameter Qwen3 model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
This model, localized-ft/Qwen3-8B-old-bird-names-v2-kld-seed4, 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: Qwen3-8B, a powerful transformer-based large language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.
- Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed compared to standard methods.
Potential Use Cases
This model is suitable for a variety of natural language processing tasks, including but not limited to:
- Text generation and completion.
- Summarization of documents.
- Question answering.
- Conversational AI applications.
- Tasks requiring understanding and generation over long contexts due to its extended context window.