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ROCm 10 enables Qwen3.8 27B model on dual R9700 GPUs via llama.cpp

By PulseAugur Editorial · [1 sources] ·

A user successfully configured ROCm 10 with llama.cpp to run the Qwen3.8 27B model on dual R9700 GPUs. The setup achieved generation speeds of 37-50 tokens/second, with spikes over 60 tokens/second when generating code, demonstrating the effectiveness of Multi Token Prediction (MTP). The user noted a performance increase compared to the standard ROCm Docker image and confirmed that no complex patching was required for the integration. AI

IMPACT Demonstrates successful integration of open-source tools and hardware for running large language models locally.

RANK_REASON User successfully configured existing software and hardware to run a specific model.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ROCm 10 enables Qwen3.8 27B model on dual R9700 GPUs via llama.cpp

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User successfully configured existing software and hardware to run a specific model.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/hurdurdur7 ·

    ROCm 10 + llama.cpp + Qwen3.8 27B Q8 K XL with MTP on 2xR9700

    <!-- SC_OFF --><div class="md"><p>TL;DR - yeah it works, no wild skills or patching required.</p> <p>37-50 tg/s when generating text, spiking over 60tg/s when writing code and mtp hits hard. Your results can be better if you have a better motherboard than my aging x370.</p> <p>--…

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