localized-ft/Qwen3-8B-old-bird-names-v2-kld-seed2
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-v2-kld-seed2 is an 8 billion parameter Qwen3 model, fine-tuned by localized-ft. This model was optimized for training speed using Unsloth and Huggingface's TRL library, offering efficient performance for its 32K context length. It is designed for applications requiring a capable language model with accelerated training characteristics.
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Model Overview
The localized-ft/Qwen3-8B-old-bird-names-v2-kld-seed2 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by localized-ft, this model was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 8 billion parameters
- Context Length: 32,768 tokens
- Training Optimization: The fine-tuning process leveraged Unsloth and Huggingface's TRL library, resulting in a 2x faster training speed compared to standard methods.
- License: Apache-2.0
Good For
- Applications requiring a Qwen3-based model with efficient training origins.
- Use cases where a balance between model size (8B parameters) and a substantial context window (32K tokens) is beneficial.
- Developers interested in models fine-tuned with performance-enhancing tools like Unsloth for faster iteration.