Nina2811aw/qwen-32B-extreme-sports-lower-lr
TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Mar 17, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The Nina2811aw/qwen-32B-extreme-sports-lower-lr is a 32.8 billion parameter Qwen2 model, developed by Nina2811aw, fine-tuned for specific applications. This model was efficiently trained using Unsloth and Huggingface's TRL library, offering a 32768 token context length. Its specialized training methodology suggests optimization for tasks where rapid and efficient fine-tuning is beneficial.
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Model Overview
This model, developed by Nina2811aw, is a 32.8 billion parameter Qwen2-based language model. It was fine-tuned from the unsloth/qwen2.5-32b-instruct-bnb-4bit base model, leveraging the Unsloth library and Huggingface's TRL library for accelerated training.
Key Capabilities
- Efficient Fine-tuning: Trained 2x faster using Unsloth, indicating a focus on rapid adaptation and deployment.
- Qwen2 Architecture: Benefits from the robust capabilities of the Qwen2 model family.
- Large Parameter Count: With 32.8 billion parameters, it offers significant capacity for complex tasks.
- Extended Context Length: Supports a 32768 token context, suitable for processing longer inputs and maintaining conversational coherence over extended interactions.
Good For
- Applications requiring specialized fine-tuning: Its efficient training process makes it suitable for developers looking to quickly adapt a powerful base model to niche domains.
- Tasks benefiting from a large context window: Ideal for scenarios where understanding long documents or maintaining extensive conversational history is crucial.