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125B AI on Just 12GB VRAM! Qwen3.8-Flash-Next Actually Runs!
Qwen3.8-Flash-Next on AMD Strix Halo: Halogen, N-grams and Benchmarks
Qwen3.8 on RTX 3090 — This Setting Made It 30× Slower
Qwen3.8-Flash-Next @ 75 TPS (4xV100) How Exactly I Did It
The End of VRAM-Bottlenecked LLMs: Qwen3.8-Flash-Next
Qwen3.8-Flash-Next: 125B MoE Model Outperforms Claude Opus 4.6 — Locally! 🤯
This Trick Makes Qwen 3.8 27B Start Answering 1.78× Faster
Qwen3.8-Flash-Next: The Qwen4 Architecture Preview
How to Run a Qwen3.8 Flash Next (176B Model (104 GB)) on a 16 GB GPU
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Last Updated: October 3, 2026
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Summary
In this video, we take a look at MTPLX v2.10.0 and how its Can a 125B-class AI model actually run locally on a consumer PC with only 12GB of VRAM? I decided to find out. My setup: ... AMD_Partner. This video is sponsored by AMD. In this video, I show exactly what I did to reach 75 tokens per second with On paper, this setup makes zero sense: a 12GB gaming GPU (RTX 5070), 64GB of RAM, and an AI model whose files exceed 66 ... I got this title inspiration from this Tweet ♂️ x.com/UnslothAI/status/2092639558815060281?s=20 In this video, we ... Paste an 8000-token document into a local AI model, and you can wait over 12 seconds before the cursor produces its first word. Free newsletter: multiagentacademy.substack.com/ Speed (Eval): 15.8-12.2 tokens/sec 262k context. Speed (Prefill): 210-135 tokens/sec. Context Length: 262144 tokens max (fully ...
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