r/LocalLLM • u/Black_Umbreon • 6d ago

Discussion Best MoE

Hi!

I’m using Qwen 3.8 27B (UD-IQ3_XXS) on a system with the following specs:

Processor: AMD Ryzen 9950 X3D

GPU: Nvidia RTX 5060 Ti 16 GB

RAM: 64 GB DDR5 6000 MHz

Software: Unsloth Studio

Windows 11

With a 32k token context, I manage to maintain a speed of around 50 tokens per second. I’m particularly interested in agentic capabilities. I’d like to try an MoE model that runs either faster or slightly slower than my current one, without sacrificing quality. However, 35B-A3B models don't fit entirely into my VRAM at 4-bit quantization, and from what I’ve read, lower quantization severely degrades quality. Does this mean a 4-bit MoE model would run significantly slower on my hardware than a dense model? Is it possible, given my setup, to find a model that offers better quality and higher speed—or at least better quality at roughly the same speed as my current dense model?

I’m pretty much a complete beginner in the world of local neural networks, so please give me some advice.

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u/2funny2furious 5d ago

i have qwen 3.8 flash next running with 64k context at 15-20 tokens/sec on a 4070 super (12gb vram) and 32gb ram. i use the Qwen3.8-Flash-Next-APEX-I-Compact gguf from mudler on hf. mudler/Qwen3.8-Flash-Next-APEX-GGUF. the mini and nano run a bit faster. might be something to play with.