A user shared their experience running the MiniMax M3 large language model on older hardware, specifically 8-16 MI50 GPUs from 2018. While the speeds achieved were deemed not ideal for agentic coding tasks compared to newer models, the user noted potential for optimization through software and hardware stack updates. The post detailed the inference engine, Huggingface quants used, and provided specific commands for running the model with different configurations, including performance metrics for token generation and processing. AI
IMPACT Provides insights into the practical performance of LLMs on older hardware, informing potential use cases and optimization strategies.
RANK_REASON User-generated report on running an LLM on specific hardware, not a formal release or benchmark.
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