Hacker News·4 min read·hard

Qwen3.8-27B at 256K on a 24GB RTX PRO 4000 SFF (432 GB/s): 50 tok/s with MTP

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Qwen3.8-27B at 256K on a 24GB RTX PRO 4000 SFF (432 GB/s): 50 tok/s with MTP
AI Summary

A technical experiment demonstrates how to optimize the Qwen3.8-27B AI model for local inference on consumer-grade hardware. The author achieves significant throughput gains by balancing model precision, speculative decoding, and memory management.

I gave Qwen3.8's MTP drafter another 69.2 MiB of precision. Throughput fell from 50.44 to 37.02 tokens per second. That result sums up the whole experiment: the best local inference setup is rarely made from the individually "best" parts.

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