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.
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