Anyone else experiencing heavy hallucinations with MiMo-V2.5 (310B) quantized ve

<!-- SC_OFF --><div class="md"><p>I was looking into implementing agent harnesses for certain knowledge work applications at my company. The harness will ensure agent has the

<!-- SC_OFF --><div class="md"><p>I'm trying to develop a really simple Flutter app, and the free reasoning model keeps generating method names or parameters that don't even exist

<!-- SC_OFF --><div class="md"><p>I was messing with a 3B parameter model last night and it seemed way less prone to hallucinating than a 7B I tried a week ago. Maybe it's the

<!-- SC_OFF --><div class="md"><p>my personal experience was quite bad, so bad that i came here to write a post about (i don't post that often). so here goes. </p> <p>here's how i

<!-- SC_OFF --><div class="md"><p>I was thinking about trying some bigger models out on my 80GB VRAM setup, but everything MoE is too slow with CPU offload. Otherwise there aren't

<!-- SC_OFF --><div class="md"><p>I'm currently choosing between IQ3_XXS Qwen-3.8-Flash and Q8_0 27B.</p> <p>This month I don't have anything complex enough to justify either's

<!-- SC_OFF --><div class="md"><p>I have 16gb vram + 128gb ram, 200k context, and whenever I am trying to do agentic coding with OpenCode, whenever it reaches 36k context it

<!-- SC_OFF --><div class="md"><p>I need a 4bit quant to run 27B on my 3090 but I swear I can't find anything that works. TevunahAi/Qwen3.5-27B-TevunahAi-GPTQ doesn't seem to work