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Large models run on low RAM, no VRAM, Reddit user shows

A user on Reddit's r/LocalLLaMA subreddit has demonstrated that large language models can be run on systems with very limited RAM and no dedicated GPU. The user tested models like Gemma 4 12B and StepFun Flash 3.7 198B MoE on a laptop with only 2.6 GiB of free RAM. The results showed that even with these constraints, the models were capable of processing prompts and generating responses, suggesting broader accessibility for running LLMs on consumer hardware. AI

IMPACT Demonstrates that large language models can be run on consumer-grade hardware with minimal RAM, potentially lowering the barrier to entry for local LLM deployment.

RANK_REASON User-generated content demonstrating a technical capability with specific model performance metrics. [lever_c_demoted from research: ic=1 ai=0.7]

Read on r/LocalLLaMA →

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

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/alex20_202020 ·

    I have finally tested it : large models can be run on low RAM / no VRAM

    <!-- SC_OFF --><div class="md"><p>I was not sure myself, seeing a lot of statements here and around like &quot;you need XXX VRAM / Unified Memory to run this model&quot;. So today I finally tested it. I have removed extra RAM module from my laptop with 4 core i7 and without GPU a…