Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by danielbln on Friday October 31, 2025 @06:58AM
(#45770625)
Your have a 9Mbit downlink? I'm not sure you're trying much of anything with that Internet connection, no offense.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by Der_Einzige on Friday October 31, 2025 @09:13AM
(#45771629)
People here absolutely can afford the ~2 dollars an hour of cloud rental costs for an H100 or even 8 (OCI has cheap H100 nodes). Most people are too lazy to even try and thank goodness for it because I prefer my very high salaries as someone who isn’t too lazy to spin up a cloud instance.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by embedding-shape on Friday October 31, 2025 @09:56AM
(#45772029)
Not to mention some of us have enough disposable income to buy a RTX Pro 6000 so we can run our stuff locally and finally scale up our model training a little bit.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by samus on Friday October 31, 2025 @09:21AM
(#45771703)
We very much can, especially such a Mixture of Experts model with only 3B activated parameters.
With an RTX 3070 (7GB GRAB VRAM), 32 GB RAM and an SSD I can run such models at speeds tolerable for casual use.
Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by embedding-shape on Friday October 31, 2025 @09:54AM
(#45772009)
How many tok/s are you getting (with any runtime) with either the Kimi-Linear-Instruct or Kimi-Linear-Base on your RTX 3070?
Re:Kimi Linear: An Expressive, Efficient Attention Architecture
by samus on Friday October 31, 2025 @04:09PM
(#45776165)
With a Qwen3-32B-A3B (Q8) I'm getting 10-20 t/sec on KoboldAI, e.g., llama cpp. Faster than I can read, so good enough for hobby use. I expect this model to be significantly faster, but llama.cpp-based software probably doesn't support it yet.
Honestly, it would take 24 hours just to download the 98 GB model if I wanted to try it out (assuming I had a card with 98 GB of ram).