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#strata

I am a King, but local 😂

Reddit r/LocalLLaMA ↗ · yesterday

A user jokes about feeling like a 'local King' running two Strata engines at 70 tps and 12M tokens daily, contrasting it with Poteto, a former Cursor employee now at xAI, who reportedly uses 34M tokens per minute and ships 2,500 PRs a month to Cursor and GrokBot.

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#strata

if you're on Strata before 0.1.45 and your client doesn't set sampling, you're running greedy

Reddit r/LocalLLaMA ↗ · 2026-10-17

作者分享在Strata上从IQ2_XS迁移到Unsloth UD-IQ4_XS时的经验:0.1.45之前缺少sampling配置会默认贪心解码导致模型循环,以及默认STRATA_ROUTE_TAIL_SKIP=7会牺牲4-bit量化质量,并给出配置与校准建议。

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#strata

Strata + Qwen 3.8 Flash Next: fast, but what's it costing in quality?

Reddit r/LocalLLaMA ↗ · 2026-10-17

一位用户质疑 Strata 的高性能宣传:虽然 tokens per second 和针尖测试数据亮眼,但其剪枝专家(pruned experts)与量化是否牺牲实际输出质量尚未经过验证,建议用 llama.cpp 上的相同 GGUF 来对照测试。

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#strata

Horsey challenge | Strata Fork | Qwen 3.8 FN NVFP4

Reddit r/LocalLLaMA ↗ · 2026-10-13

用户在 RTX 5090 单卡上使用 strata-nvfp4 引擎(Strata 的 NVFP4 分支)运行 Qwen3.8-Flash-Next 125B-A6B 混合 MoE 模型,分享了「小马挑战」(生成 Three.js 低多边形奔跑小马的 HTML)的性能数据:87 步、12.4 万输出 token、平均 103 t/s 解码速度、99% 缓存命中率。

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#strata

@MinLiBuilds: https://x.com/MinLiBuilds/status/2107988055101685781

X AI KOLs Timeline ↗ · 2026-10-08 Cached

The author shares a complete guide for deploying Qwen3.8-Flash-Next (125B-A6B) on 12GB VRAM (RTX 5070) with Strata, achieving nearly 100 tok/s, and lets Ant Group's newly released Ling-3.1-flash Agent handle the entire workflow from scratch — machine check, download, installation, troubleshooting, and benchmarking.

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#strata

Tested in Coding: Strata

Reddit r/LocalLLaMA ↗ · 2026-10-07

A detailed 12-hour hands-on review comparing the Strata inference host against llama.cpp for running Qwen3.8-Flash-Next in a continuous coding harness, documenting hallucinated tool outputs, memory confusion after compaction, and repeated malformed file writes that led the author to abandon Strata for enterprise-grade development.

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#strata

@lxfater: Cloud models are way too uptight, always refusing to answer at the drop of a hat Someone's made a version of Qwen3.8-Fl…

X AI KOLs Timeline ↗ · 2026-10-05 Cached

A Hugging Face release packages the Qwen3.8-Flash-Next abliterated GSQ-RCO quantizations with a 480KB control vector for Strata, enabling runtime refusal removal on local GPUs without altering model weights.

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#strata

@ivanalog_com: From my personal perspective, after the Strata revolution, the products that are very likely to see price increases rig…

X AI KOLs Timeline ↗ · 2026-10-05 Cached

The author believes that after the Strata revolution, prices for memory above 32G and mid-range graphics cards above 16G are very likely to rise, and suggests that a configuration of 64G RAM + 16G VRAM can run Strata for just over a thousand yuan. The quoted post shows that DDR5 prices (especially 16G and 32G) have already deteriorated significantly.

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#strata

How smart is the IQ3 family of Qwen 3.8 Flash Next for coding tasks?

Reddit r/LocalLLaMA ↗ · 2026-09-30

A GPU-poor developer asks whether Qwen Flash Next IQ3 quantizations are good enough for agentic coding tasks, comparing them to Q4/Q5 variants before buying more RAM to run them locally with the Strata inference engine.

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#strata

Rethinking the GNOME clipboard issues

Lobsters Hottest ↗ · 2026-05-27 Cached

The article analyzes why GNOME clipboard managers cause stuttering due to GJS's single-threaded compositor, and introduces Strata, a new clipboard manager that moves intensive work off the compositor thread to eliminate hitching.

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