The Qwen3.8-27B Variant Built to Stop Overthinking
Swift-1.5-Qwen3.8-27B-GGUF is a set of GGUF quantizations of Swift 1.5 Qwen3.8-27B, a text-generation and reasoning model derived from Qwen3.8-27B. UkisAI (maintainer profile) trained the Swift model to reduce pathological overthinking: its reported evaluation uses 58.5% fewer mean thinking tokens than the base on GPQA-Diamond, with a 0.31 percentage-point higher score, and the release reports a 9.18× speed-up on several tasks. That speed-up is a reported result, not a general guarantee for every prompt, quantization, or machine. The model has 27B parameters according to its name; the supplied material does not specify its architecture details, hardware requirements, or a context limit for this GGUF release. Run it with a current llama.cpp-compatible runtime such as llama-server. The key decision is whether lower reasoning-token use and local GGUF deployment suit your workload: Swift improves some coding and agent benchmarks, but trails the base on several reasoning and math scores.
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