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24gb-vram

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lifeidle / comfyui-5090-laptop-24gb-minimax-h3-qwen-image-wan2.2

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RTX 5090 Laptop (24GB) + ComfyUI: 12 model lines / 21 measured configs — MiniMax H3, Wan 2.2, Qwen-Image 2512, HunyuanVideo 1.5, FLUX.2 Klein, Z-Image-Turbo, LTX-Video, ACE-Step 1.5, YuE2, Stable Audio 3, Hunyuan3D 2.1, ERNIE-Image. A controlled A/B proves NVFP4 beats INT8. Bilingual 中文/English, licence-verified.

music-generation quantization text-to-image text-to-audio text-to-video blackwell image-to-3d flux2 comfyui rtx-5090 hunyuan3d ace-step hunyuanvideo wan22 qwen-image nvfp4 z-image minimax-h3 5090-laptop 24gb-vram
  • Updated Oct 11, 2026
  • HTML

DominikBucko / qwen38-flash-next-3090

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Run Qwen3.8-Flash-Next on ONE RTX 3090 (24 GB) + 64 GB RAM: 128K context, up to 2,100 tok/s prefill, 43–51 tok/s decode. vLLM runtime with hot MoE experts on the GPU and cold experts computed on the CPU, INT8 KV cache, Docker, OpenAI-compatible API.

moe mixture-of-experts single-gpu rtx3090 int4 llm long-context vllm local-llm llm-inference qwen kv-cache-quantization openai-compatible-api consumer-gpu rtx-3090 cpu-offloading qwen38 qwen3-8-flash-next 128k-context 24gb-vram
  • Updated Sep 30, 2026
  • Python

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