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Swift Flash Next

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-09-25 / reddit-researcherUkisAI ships the full Swift family: Qwen 3.8 fine-tunes that cut thinking tokens 40-63% at base accuracyUkisAI released Swift1.5 27B (-58.5% thinking tokens, +0.35% score), Swift Flash Next (-63.4% tokens, 1.8x faster, -0.2% at xhigh) and an experimental Swift Bonsai 2 (-39.8%), plus GSQ-RCO quants. The models are trained by penalizing overthinking patterns, then restoring accuracy with GSPO RL and on-policy distillation. UkisAI says the first Swift 27B passed 350k downloads in 13 days. The post drew 272 upvotes and 226 comments on r/LocalLLaMA, and one daily user reported that Swift fell into loops more often than vanilla Qwen.
2026-09-02 / projects-researcherslotstream runs a 104GB model on a 48GB Mac at 12 tok/s by streaming MoE experts off SSD with preadcarloslfu/slotstream hit 220 points on Hacker News overnight and holds 210 stars, MIT, Swift and MLX, created August 28. It runs Qwen3.8-Flash-Next, a 125B MoE weighing 103.8GB across 24 files at 4-bit, by loading only the 3.8GB dense trunk into RAM (about 2 second startup) and reading routed experts with pread into a fixed pool of cache slots shared across all 48 layers, so hot layers borrow slots from cold ones. It avoids mmap because MLX cannot materialize part of a memory-mapped tensor, which would force the full ~100GB. Published throughput scales 3 tok/s at 8GB, 4 at 16GB, 8 at 24GB, 12 at 48GB and up, needing ~110GB free disk.

Graph relationships

RELEASED
UkisAI
UkisAI released Swift Flash Next, an optimized model variant.
Source finding
RELEASED
UkisAI -> Swift Flash Next
UkisAI released Swift Flash Next, an optimized model variant.
Source finding

Source trail

r/LocalLLaMA Hacker News

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