AINewsnow

6900xt and 32gb ram Qwen 3.8 Flash Next (STRATA) 40+ tk/s

This story is from 2026-10-17. It is preserved in the archive; the latest stories are on the live feed.

Honestly kinda stunned this even runs on my PC lol. I went into it thinking 32GB RAM probably wouldn't be enough, but here we are. 5700X, 6900 XT 16GB, 32GB DDR4 3600. Using Flash Next Q2_0 with Strata, I got about 32 tok/s on a Python task, then 41.5 tok/s over a roughly 4500-token response making…

Read the full story at r/LocalLLM ↗

Timeline · 11 reports

  1. 2026-10-19 17:22 · r/LocalLLaMA
    ijah --- M5+ Mac Engine for Qwen 3.8 Flash Next / Swift 1.5 Flash Next. Optimal Quality and Speed on 128gb
  2. 2026-10-19 00:29 · r/LocalLLaMA
    Qwen 3.8 Flash Next optimized for two CMP 170hx GPUs
  3. 2026-10-17 21:30 · r/LocalLLM
    Testing Qwen 3.8 Flash Next with Different Coding Tools
  4. 2026-10-17 13:44 · r/LocalLLaMA
    Why not run Qwen 3.8 Flash Next with the full n-gram-table?
  5. 2026-10-17 12:02 · r/LocalLLM
    Qwen Flash Next quant and temp comparison - performance vs task time vs quality
  6. 2026-10-17 11:58 · r/LocalLLaMA
    Qwen Flash Next quant and temp comparison - performance vs task time vs quality
  7. 2026-10-17 10:31 · r/LocalLLaMA
    Strata - Qwen 3.8 Flash Next - boosting decoding speed Tip
  8. 2026-10-17 09:23 · r/LocalLLM
    Unsloth Qwen 3.8 flash next is insane, can be compared with Opus 5.5 xhigh
  9. 2026-10-17 08:59 · r/LocalLLaMA
    Strata + Qwen 3.8 Flash Next: fast, but what's it costing in quality?
  10. 2026-10-17 02:54 · r/LocalLLaMA
    As we know, currently Qwen-flash-next is the local king, but is it better than opus 4.6 max in coding?
  11. 2026-10-17 01:44 · r/LocalLLM
    6900xt and 32gb ram Qwen 3.8 Flash Next (STRATA) 40+ tk/s

More stories

  1. As we know, currently Qwen-flash-next is the local king, but is it better than opus 4.6 max in coding? — r/LocalLLaMA
  2. Qwen 27B (IQ4_XS, Q8/Q4 KV) at full 262k context on a 16GB RX 9070 XT: 80+ t/s decode with Adaptive KV Streaming — r/LocalLLaMA
  3. deepseek-ai/DeepSeek-V4.1-Flash-1017 · Hugging Face — r/LocalLLaMA
  4. I downloaded a local 9B model. It insists it’s Claude and thinks I’m trying to jailbreak it by showing it my GPU. 💀 — r/LocalLLM
  5. 12GB VRAM + 16GB RAM is enough for very smart local AI with 120K+ context — r/LocalLLM
  6. Tried out Gemini 4 Argon Medium on Antigravity. Burnt 66% of its WEEKLY quota and performed worse than both GPT 6.1 Sol Medium and Claude 5.5 Opus Medium — r/GeminiAI
  7. NPCs can talk back now | from universal modder on X: "Introducing NPCTalk: make the NPCs of any game talk in realtime. I made every NPC in GTA V answer to me in character, in their own cloned voice, in under 1s, and they act on what you say. — r/agi
  8. How a 4-agent team (Claude, Codex, Gemini + local open-weight Qwen/Hermes) reverse-engineered a 2026 TP-Link Deco router in one afternoon — and why open-weight models were essential when Opus 4.8/5.5 became unusable due to filter rules — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →