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title: Qwen 3.8 27B on Strix Halo: 18 t/s With MTP, Nearly 2x...
description: Qwen 3.8 27B achieves 18 tokens/second with MTP (multi-token prediction) speculative decoding on AMD Strix Halo hardware, nearly double the 9.6 t/s baseline....
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og:title: Qwen 3.8 27B on Strix Halo: 18 t/s With MTP, Nearly 2x the Baseline | daily.dev
og:description: Qwen 3.8 27B achieves 18 tokens/second with MTP (multi-token prediction) speculative decoding on AMD Strix Halo hardware, nearly double the 9.6 t/s baseline....
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# Qwen 3.8 27B on Strix Halo: 18 t/s With MTP, Nearly 2x the Baseline

**[Qwen](https://daily.dev/sources/qwen)** · [@geniusatwork](https://daily.dev/geniusatwork) · 2 upvotes · 0 comments

## Summary

Qwen 3.8 27B achieves 18 tokens/second with MTP (multi-token prediction) speculative decoding on AMD Strix Halo hardware, nearly double the 9.6 t/s baseline. The winning configuration uses the vulkan-radv toolbox (which beats amdvlk and ROCm, the latter unable to load Qwen 3.8 at all), draft-n-max 2 (which outperforms n-max 5 by 19% due to rejection overhead at Q6_K quantization), and froggeric's fixed chat template v22 to fix official template bugs around thinking mode, tool calling, and reasoning_effort. Enabling preserve_thinking is essential for keeping the KV prefix cache valid across multi-turn conversations. The final result matches the Q8_0 tier of Qwen 3.6 MTP in speed while offering a newer, better-benchmarked model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://sleepingrobots.com/dreams/qwen38-mtp-strix-halo>

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---

Tags: [#vulkan](https://daily.dev/tags/vulkan), [#local-ai](https://daily.dev/tags/local-ai), [#ai-inference](https://daily.dev/tags/ai-inference), [#qwen](https://daily.dev/tags/qwen), [#llama-cpp](https://daily.dev/tags/llama-cpp)

[View this post on daily.dev](https://daily.dev/posts/jodyebgl9)

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