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LLM users discuss optimal models for 20GB VRAM and 64GB RAM setups

A user on the r/LocalLLaMA subreddit is seeking advice on the best large language model (LLM) for their specific hardware configuration, which includes a laptop with 64GB of DDR5 RAM and an external 20GB VRAM GPU. They have found success with the Qwen3.6 35B A3B model, which allows for CPU offloading and high context lengths. The user is inquiring about other Mixture-of-Experts (MoE) models or dense models that might perform well on similar setups, particularly for local coding agent tasks. AI

IMPACT Provides insights into practical LLM deployment constraints and user-driven model selection for local AI tasks.

RANK_REASON User discussion on optimal model selection for specific hardware, not a new release or significant industry event.

Read on r/LocalLLaMA →

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

LLM users discuss optimal models for 20GB VRAM and 64GB RAM setups

COVERAGE [1]

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

    20GB VRAM + 64GB DDR5 - Qwen3.6 35B A3B still the best choice?

    <!-- SC_OFF --><div class="md"><p>Hey everyone. Trying to figure out the best setup for my hardware. I've got a 64GB DDR5 RAM laptop and A 20GB 7900xt egpu. Usecase is only pi-coding-agent locally.</p> <p>So far, Qwen3.6 35B A3B has been the only model I've found that would work …