Community developer releases two optimized Qwen3.5 Neo fine-tunes designed for faster, more efficient reasoning with reduced token costs

Qwen3.5-4B-Neo and Qwen3.5-9B-Neo are new community fine-tunes created by Jackrong focused on chain-of-thought reasoning optimization

The 4B variant prioritizes shorter internal reasoning paths, lower token consumption, and improved accuracy despite smaller model size

Both models are available on Hugging Face with GGUF versions provided for local deployment and inference efficiency

These fine-tunes target users seeking faster inference speeds and reduced computational costs compared to base Qwen3.5 models