GSQ-RCO

Headlines · 2

1. 1d
   ISTA disputes Unsloth's DeepSeek-V4.1-Flash-1017 benchmark comparison

   ISTA said its DeepSeek-V4.1-Flash-1017 benchmarks used a 128K context window, reasoning effort of 50 and an output budget of up to 128K tokens. It attributes the discrepancy with Unsloth's published comparisons to different constraints, saying Unsloth imposed a strict 32K reasoning budget, and denies using hidden hyperparameter adjustments to favor its models. ISTA said its code is available on GitHub, its papers are on arXiv and additional comparisons were underway. It invited independent reproduction using its stated settings.

   r/LocalLLaMA · 🔥 2
2. 2d
   UkisAI releases two Swift 1.5 reasoning-efficiency models

   UkisAI announced Swift 1.5 GLM-5.3-Flash and Swift 1.5 Ornith-9B, with GGUF and other quantized weights available for local inference. The company says GLM-5.3-Flash cut thinking-token usage by 61.4% on MMLU-PRO with a 0.46% average accuracy loss, while Ornith-9B reduced thinking-token usage by 33.5% without an accuracy loss. These results are vendor claims based on UkisAI's own benchmarks and have not been independently verified.

   r/LocalLLaMA · 🔥 0

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