@TheAhmadOsman: RTX 3090 owners tonight will be running Kimi_K3_3T_Q_0.001_K GGUF
Summary
A quantized GGUF version of the Kimi K3 model is now available, optimized for running on RTX 3090 GPUs.
View Cached Full Text
Cached at: 07/16/26, 10:18 PM
RTX 3090 owners tonight will be running Kimi_K3_3T_Q_0.001_K GGUF https://t.co/OX0iqSj52r
Similar Articles
A user has managed to run Kimi K3 on 80xRTX 5090, via 25GbE Ethernet.
A user runs Kimi K3, a 2.8T-parameter open-weight MoE model, on 80 RTX 5090 GPUs using only GDDR7 and Ethernet—no HBM—achieving 20 tok/s single stream, the first frontier model to run on consumer hardware.
Kimi K3 is like an F1 machine inside a show window.
Moonshot has released Kimi K3, an extremely large AI model that is virtually impossible to run on local workstations even with multiple RTX 6000 Blackwell GPUs, prompting the author to seek ways to run it via hacking or distillation.
Kimi K2.6 Unsloth GGUF is out
Unsloth has released a GGUF-quantized version of the Kimi K2.6 model, enabling efficient local inference.
Qwen3.6-35B-A3B APEX on a Single RTX 3090 - Getting the Most Out of It
A detailed guide on running the Qwen3.6-35B-A3B APEX model on an RTX 3090, comparing two llama.cpp forks and quantization methods for optimal speed and quality.
Ternary Qwen3.6 27B Tested on 3090!
User tests ternary quantized Qwen3.6 27B on an RTX 3090, achieving 60 tk/s with two slots and 100k KV cache using 21GB VRAM, with good quality and stable tool calls.