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1219 items in r/LocalLLaMA

19.08.2026
r/LocalLLaMA Am I doing something wrong? Qwen 3.8 27B seems useless for agentic coding 🔗
r/LocalLLaMA Thoughts About Scaling Law - Z.ai 🔗
r/LocalLLaMA Qwen3.8-27B on 2x 3090 + vLLM + DFlash2: 218 tok/s single request 🔗
r/LocalLLaMA Qwen3.8-27B is disgustingly powerful 🔗
r/LocalLLaMA New midsize Qwen 3.8 model coming next week (hopefully) according to community manager! 🔗
18.08.2026
r/LocalLLaMA GLM5.3 Artificial Analysis Benchmarks 🔗
r/LocalLLaMA DFlash 2 available for Qwen 3.8 27B and Muse Glimmer 🔗
r/LocalLLaMA Alibaba's RISC-V CPU, XuanTie C950, Runs Qwen-3.8 27B at 30 tps 🔗
r/LocalLLaMA Qwen 3.8 27B is the DeepSeek moment for local models. It matches frontier intelligence from just a few months ago and outperforms Google’s current frontier model. No big data center is needed as almost every serious local model expert can run it on their own hardware. 🔗
r/LocalLLaMA local models fear my tests 🔗
r/LocalLLaMA and here we are 🔗
r/LocalLLaMA Memory prices climb 500% in 12 months, up to 10x the lowest ever tracked prices - 128GB of DDR5 now $3,399 🔗
r/LocalLLaMA Qwen3.8 2.4T open weights made a Call of Duty clone 🔗
r/LocalLLaMA I pushed Qwen3.8-27B to 124 tps on a single request on a RTX 3090 🔗
r/LocalLLaMA Qwen3.8-27B: slower tokens, faster and better results 🔗
r/LocalLLaMA Running DeepSeek V4 Flash Q4_K_XL at ~100 tok/s prompt processing on 4× RTX 3060 12GB 🔗
r/LocalLLaMA If the weights never change, is it really recursive self-improvement? 🔗
r/LocalLLaMA Linux Improves VRAM Management in 7.3 Kernel 🥳 🔗
r/LocalLLaMA Hugging Face just surpassed 3 million models on the Hub 🔗
r/LocalLLaMA Qwen 3.8 27b saved me $650+ in API costs this evening 🔗
r/LocalLLaMA tencent/UI-Mate-27B · Hugging Face 🔗
r/LocalLLaMA Qwen 3.8 27B xhigh vs medium small comparison (+ others for fun) 🔗
r/LocalLLaMA AA is the reason for Qwen3.8 27B shipped with xhigh 🔗
r/LocalLLaMA Qwen dev says not to wait for 35B-A3B 🔗
r/LocalLLaMA CDW has bumped the MSRP of the RTX Pro 6000 from $16,000 to $19,999 🔗