Successfully Running the Mighty Mistral Small 4 119B on DGX Spark: A Feat of AI Efficiency
infrastructure#llm📝 Blog|Analyzed: Apr 28, 2026 04:46•
Published: Apr 28, 2026 04:44
•1 min read
•Qiita LLMAnalysis
This is an incredibly exciting demonstration of pushing the boundaries of local AI hardware! Running a massive 119-billion Parameter model with 6.5B active parameters on the DGX Spark's 128 GiB unified memory showcases amazing Scalability. It is fantastic to see Open Source models like this making top-tier Inference accessible for cutting-edge experimentation.
Key Takeaways
- •The Mistral Small 4 119B model easily fits into the DGX Spark's memory, proving that massive MoE architectures can run efficiently on prosumer hardware.
- •Despite having a total of 119 billion Parameters, the model only requires 6.5B active parameters (out of 128 experts) for impressive speed during Inference.
- •This release highlights an incredible Open Source milestone, as Mistral AI provides a 100B+ class model under the Apache 2.0 license.
Reference / Citation
View Original"DGX Spark の 128 GiB ユニファイドメモリに UD-Q4_K_M (約 68.7 GiB, 3 シャード) がそのまま載ります。"
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