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Simo Ryu
Huge respect to Kimi for calling this optimizer after muon instead of re-branding into completely different name bullshit like all the other companies / academics do
11.7. klo 23.03
🚀 Hello, Kimi K2! Open-Source Agentic Model!
🔹 1T total / 32B active MoE model
🔹 SOTA on SWE Bench Verified, Tau2 & AceBench among open models
🔹Strong in coding and agentic tasks
🐤 Multimodal & thought-mode not supported for now
With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build!
🔌 API is here:
- $0.15 / million input tokens (cache hit)
- $0.60 / million input tokens (cache miss)
- $2.50 / million output tokens
🔗 Tech blog:
🔗 Weights & code:
🔗 Github:
Try it now at or via API!
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n-simplex attention makes incredible sense because of its honesty: it literally says you can put more compute on attention operation to get more gains: we've seen this trend so many times.
This differs from lot of 'suspicious' claim, such as you can use less compute to perform similarly (i.e., subquardatic compute to match quadratic compute).
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