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User reports low draft acceptance with Qwen 3.x models in llama.cpp

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is experiencing low draft acceptance rates when using Qwen3.5-122B and Qwen3.6-27B models with llama.cpp. The user reports acceptance rates between 40-60% for chats involving code snippets, which is lower than the approximately 80% acceptance rates seen by other users. They are seeking advice on potential misconfigurations in their llama-server command, which includes specific parameters for draft acceptance and context fitting. AI

IMPACT Troubleshooting tips for optimizing LLM performance in specific use cases.

RANK_REASON User question about model performance and configuration.

Read on r/LocalLLaMA →

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

User reports low draft acceptance with Qwen 3.x models in llama.cpp

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User question about model performance and configuration.
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121 days old
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COVERAGE [1]

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

    I'm seeing low draft acceptance when using Qwen3.x MTP, what am I doing wrong?

    <!-- SC_OFF --><div class="md"><p>I'm using llama.cpp, and I've tried Bartowski's and my own quants.</p> <p>When using Qwen3.5-122B or Qwen3.6-27B, I'm seeing really low draft acceptance in chats with interleaved code snippets (chatting with the LLM about programming / a code pro…

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