Model Releases
How do you plan to run Qwen3.8-2.4T-A95B locally?
To my fellow crazies, the few. Those who dared wrestle with llama-70b, mistral-large, goliath, mistral8x22B, DeepSeekV2/3, wept when llama4 behemoth was announced, picked yourself up and are now wrest
To my fellow crazies, the few. Those who dared wrestle with llama-70b, mistral-large, goliath, mistral8x22B, DeepSeekV2/3, wept when llama4 behemoth was announced, picked yourself up and are now wrestling with DeepSeekV4Pro, GLM5.2, MiMoV2.5Pro and sometimes dare dream of KimiK3, well Qwen3.8-2.4T is here. Smaller than KimiK3, but looks like it might be harder as just as hard. HOW ARE WE GOING TO RUN THESE LOCALLY? Are we? We are right?! For the rest of the normies who are worried about electricity, ROI, API break even cost, and all other irrelevant valid points, please skip this thread. submitted by /u/segmond [link] [comments]
Related
- What it feels like to have to have Qwen 3.6 or Gemma 4 running locally
- KV cache quantization benchmarks: 413 pairs tested on Qwen 3.6 27B, Gemma 4 31B. KLD with BeeLlama.cpp v0.4.0: KVarN 6-bit beats q8_0, precision tail 1024 dominates
Source: r/LocalLLaMA | 2026-08-13