Token-efficient reasoning model Swift-1.5-Qwen3.8-27B trends on Hugging Face
ukisai · hf · 2026-09-27
- Swift-1.5-Qwen3.8-27B-GSQ-RCO, a GGUF quantization of a Qwen3.8 27B reasoning model, is trending on Hugging Face for llama.cpp local deployment.
- The model targets token-efficient reasoning: post-training with GSQ and RCO methods aims to cut the number of thinking tokens while preserving quality.
- Useful for local/inference-cost-sensitive setups.
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