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Qwen3.8-Flash on RTX3090 + 64GB RAM (but you only need 12GB VRAM)

Reddit r/LocalLLaMA ↗ · 2026-08-28

This article provides a detailed guide on running the Qwen3.8-Flash AI model on an RTX 3090 with 64GB RAM, discussing performance metrics, quantization settings, and deployment steps using tools like llamacpp.

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#ai-model-deployment

@9hills: Qwen3.8-27B Local Deployment Guide 1. Q4 has basically no quality loss, can even use Q3 2. Use Unsloth's GGUF. 3. Turn on low thinking. 4. Enable dflash2

X AI KOLs Timeline ↗ · 2026-08-21 Cached

This article provides a local deployment guide for the Qwen3.8-27B model, recommends using Q4 quantization and the Unsloth GGUF tool, and shares performance test results compared to the FP8 benchmark.

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