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12GB VRAM Users Discuss LLM Options Amidst Hardware Limitations

Users with 12GB of VRAM are discussing strategies for running large language models, with a focus on quantized Mixture-of-Experts (MoE) models like those fine-tuned from Qwen. The consensus suggests that for denser models, 24GB of VRAM may be necessary, limiting options for those with less hardware. AI

RANK_REASON User discussion on hardware limitations for running LLMs, not a significant industry event.

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

12GB VRAM Users Discuss LLM Options Amidst Hardware Limitations

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  1. r/LocalLLaMA TIER_1 English(EN) · /u/Mean-Ad1493 ·

    12GB VRAM gang, what's our plan?

    <!-- SC_OFF --><div class="md"><p>Seems like we're limited to qwen finetuned MoEs for now. Looking at the current landscape - focus seems to be on dense models (muse glimmer 30b, qwen 3.8 27b) for smaller setups. </p> <p>Is upgrading to 24GB VRAM the only option?</p> </div><!-- S…