A user on Reddit's r/LocalLLaMA subreddit is experiencing significantly slower performance with the DeepSeek-V4-Flash model when using the DSpark draft model configuration compared to the Multi Token Prediction (MTP) setup. While the MTP configuration achieves a respectable 30-40 tokens per second, the DSpark configuration drops to a mere 1-2 tokens per second. The user is seeking advice on correctly configuring speculative decoding with llama-server to resolve this bottleneck, providing detailed hardware specifications and command-line arguments for both configurations. AI
IMPACT Identifies potential performance bottlenecks in local LLM inference setups, impacting user experience and efficiency.
RANK_REASON User reporting performance issues with a specific model configuration on a local LLM server.
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