Jakelolipopp/Qwen3.5-4B-AltText-v2-merged
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Jakelolipopp/Qwen3.5-4B-AltText-v2-merged is a 4.5 billion parameter Qwen3.5 model developed by Jakelolipopp. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable foundation.
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Model Overview
Jakelolipopp/Qwen3.5-4B-AltText-v2-merged is a 4.5 billion parameter language model developed by Jakelolipopp. It is based on the Qwen3.5 architecture and was fine-tuned from the unsloth/Qwen3.5-4B base model.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Qwen3.5 Architecture: Leverages the robust Qwen3.5 foundation for general language understanding and generation tasks.
Good For
- Developers seeking an efficiently trained Qwen3.5 model for various NLP applications.
- Experimentation with models fine-tuned using advanced techniques like Unsloth for performance optimization.