StarsMakeGalaxy/rag-qwen3.5-4b-1000-claude
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
StarsMakeGalaxy/rag-qwen3.5-4b-1000-claude is a 4.5 billion parameter causal language model developed by StarsMakeGalaxy, finetuned from Qwen/Qwen3.5-4B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. Its primary use case is general language generation, leveraging its efficient training methodology.
Loading preview...
Overview
StarsMakeGalaxy/rag-qwen3.5-4b-1000-claude is a 4.5 billion parameter language model, finetuned by StarsMakeGalaxy from the Qwen/Qwen3.5-4B base model. It was developed with a focus on training efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Efficient Training: Achieves 2x faster training compared to standard methods, thanks to the integration of Unsloth.
- General Language Generation: Provides capabilities for various language tasks, building upon the foundation of the Qwen3.5-4B architecture.
Good for
- Developers seeking a moderately sized language model with a focus on efficient training and deployment.
- Applications requiring a Qwen3.5-based model that benefits from optimized finetuning processes.