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First few days of qwen3.8-flash-next on 4x R9700 - it's been really interesting so far

AI 摘要

A user has been testing qwen3.8-flash-next on a system with 4x R9700, primarily for agentic coding use-cases. They report that the model, specifically the tcclaviger/Qwen3.8-Flash-Next-MXFP4-FP8 version, has significantly exceeded expectations in both speed and quality. Performance metrics include 3-5 concurrent streams each generating at ~100t/s, a single stream reaching 150+t/s, and prefill speeds of 10k+t/s.

为什么是这条

This report offers specific, high-throughput performance metrics for qwen3.8-flash-next on consumer-grade hardware, unlike most benchmarks that focus on enterprise systems.

时间与来源

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发布当时偏移:UTC+02026年9月29日 01:52 UTC

收录当时偏移:UTC+02026年9月29日 11:00 UTC

发布
2026年9月29日 01:52
收录
2026年9月29日 11:00
来源类型
开发者社区
档位
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信源状态
正常

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讨论趋势

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最近 24 小时与此前 24 小时的快照均值对比 · 7 天曲线

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Been testing with a variety of different agentic coding use-cases, mostly using a pi harness.

qwen3.8-flash-next has seriously exceeded my expectations (used https://huggingface.co/tcclaviger/Qwen3.8-Flash-Next-MXFP4-FP8)

Both speed and quality have surprised me, given that I can get 3-5 concurrent streams going with ~100t/s gen each, and single stream easily gets to 150+t/s. Prefill is 10k+t/s

来源·reddit.com