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Deepseek V4 Flash model performance with MoE offload discussed on Reddit

By PulseAugur Editorial · [1 sources] ·

A user on the r/LocalLLaMA subreddit is inquiring about running the Deepseek V4 Flash model, specifically asking about its performance with Mixture of Experts (MoE) offload. The user references several GitHub repositories and Hugging Face pages related to forks and modifications of the Deepseek V4 model, including efforts by 'huihui-ai' and 'Fringe210' that aim to improve tensor parallelism and CUDA compatibility. The discussion centers on the technical challenges of fitting the large model into available VRAM, particularly with the KV cache, and exploring different implementations for optimal performance. AI

IMPACT Technical users are exploring optimized configurations for running large language models locally.

RANK_REASON Discussion of running a specific model with technical configurations on a user forum.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Deepseek V4 Flash model performance with MoE offload discussed on Reddit

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Discussion of running a specific model with technical configurations on a user forum.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/fragment_me ·

    Anyone running Deepseek v4 Flash with MoE offload?

    <!-- SC_OFF --><div class="md"><p>I saw the DS4 repo and the last time I tried it I was just short of 5-10GB of VRAM to fit the model I wanted in VRAM with the KV cache.</p> <p>There are also these repos that caught my eye that I saw on the huihui-ai hugging face page - <a href="…

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