Deepseek v4 flash Q2 on a single 4090 😅
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
| It freaking worked lol🔥 Deepseek-v4-flash-0731 @UnslothAI 's IXQ2/Q3 checkpoint on one single RTX4090 with just 64 GB of RAM at usable token rate without dspark. All kernels running on Blaze (my custom developed ML compiler + inference engine) - no llama.cpp or vllm in the picture. The setup keeps heavily utilized experts in RAM with CPU (a trick from this guy ) Current tps is around 8 tps with slight expert miss causing a disk read which lowers it to 5 tps momentarily. With dspark and perhaps more RAM, it can probably hit double digits. Prefill is also WIP. I'll publish something on this stack soon on my substack : 😊 [link] [comments] |
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.