Running MiniMax M2.5 (230B) on NVIDIA DGX Spark: A Leap in Local LLM Capabilities

infrastructure #llm 📝 Blog|Analyzed: Feb 14, 2026 19:30•

Published: Feb 14, 2026 17:27

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1 min read

Analysis

This article highlights the successful implementation of the MiniMax M2.5 (230B) 【Large Language Model (LLM)】 on NVIDIA DGX Spark, demonstrating impressive performance for a local coding model. The use of 3-bit quantization enables this feat, showcasing efficient resource utilization. This opens doors for running powerful LLMs on more accessible hardware.

Key Takeaways

•The MiniMax M2.5 【LLM】 achieves high quality as a local coding model on DGX Spark.
•3-bit quantization is key to running the 230B parameter model on the DGX Spark's memory.
•The article provides a practical guide to setting up and running the model, using ik_llama.cpp.

Reference / Citation

"DGX Sparkで動くコーディング用ローカルモデルの中だと現状一番クオリティが高そう。"

Z

Zenn LLMFeb 14, 2026 17:27

* Cited for critical analysis under Article 32.

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Source: Zenn LLM