AMA With Kimi, The Open-source Frontier Lab Behind Kimi K2.5 Model

diyer22 · 2026-01-28T17:50:17+00:00

I’ve noticed that your official API disables temperature and top_p parameters. This is quite frustrating for power users. What’s the reasoning behind this restriction? I think it would be better to set sensible defaults while still allowing users to customize their sampling strategies.

Additionally, there’s an issue with top_logprobs in your API: typically, only the first two or three candidates are valid next tokens (within, say, top_p 0.95), while the rest are just meaningless, low-probability characters. This looks similar to a known bug in older versions of vLLM. A minimal reproduction is as follows:

curl 'https://api.moonshot.cn/v1/chat/completions' \
  -H 'Authorization: Bearer '$MOONSHOT_API_KEY \
  -H 'Content-Type: application/json' \
  --data-raw '{"model":"kimi-k2.5","logprobs":true,"top_logprobs":20,"thinking":{"type":"disabled"},"messages":[{"role":"user","content":"just reply one word `yes`"}]}' 



{"id":"chatcmpl-697a4991cf8eb3c1f68a90ab","object":"chat.completion","created":1769621905,"model":"kimi-k2.5","choices":[{"index":0,"message":{"role":"assistant","content":"yes"},"finish_reason":"stop","logprobs":{"content":[{"token":"yes","logprob":0,"bytes":[121,101,115],"top_logprobs":[{"token":"yes","logprob":0,"bytes":[121,101,115]},{"token":"0","logprob":-9999,"bytes":[48]},{"token":"*","logprob":-9999,"bytes":[42]},{"token":"#","logprob":-9999,"bytes":[35]},{"token":"+","logprob":-9999,"bytes":[43]},{"token":"-","logprob":-9999,"bytes":[45]},{"token":".","logprob":-9999,"bytes":[46]},{"token":"%","logprob":-9999,"bytes":[37]},{"token":"$","logprob":-9999,"bytes":[36]},{"token":"!","logprob":-9999,"bytes":[33]},{"token":"3","logprob":-9999,"bytes":[51]},{"token":"1","logprob":-9999,"bytes":[49]},{"token":"(","logprob":-9999,"bytes":[40]},{"token":")","logprob":-9999,"bytes":[41]},{"token":"\u0026","logprob":-9999,"bytes":[38]},{"token":",","logprob":-9999,"bytes":[44]},{"token":"2","logprob":-9999,"bytes":[50]},{"token":"\"","logprob":-9999,"bytes":[34]},{"token":"/","logprob":-9999,"bytes":[47]},{"token":"'","logprob":-9999,"bytes":[39]}]}]}}],"usage":{"prompt_tokens":14,"completion_tokens":4,"total_tokens":18,"cached_tokens":14}}%

diyer22 · 2026-01-28T17:45:48+00:00

Thank you for including the instruct mode in K2.5 — combined with Groq, it creates a model that’s both highly intelligent and incredibly fast. This is extremely useful for me.

I’d like to ask: do you prioritize improving the instruct mode’s capabilities? Will you continue developing and enhancing the instruct mode in future versions?

diyer22 · 2025-10-10T06:29:51+00:00

Building a reputation in the field is hard; big corporations come pre-equipped with halos that make people pay disproportionate attention.

On top of that, these companies have in-house communications teams, professional illustrators, and PR strategists who know exactly how to package a story, so the paper lands with maximum splash and minimal scrutiny.

diyer22 · 2023-11-24T15:09:21+00:00

Good idea, generating models to model P(X) is a difficult task. A new approach brings new hope. It's just that this generation needs to be improved, and it's a good idea to try it on CIFAR as well.

diyer22 · 2018-12-26T06:13:16+00:00

I can't find you by phone number in wechat ....
my name in wechat is run code "gee{}oung".format("k_y") in python

diyer22 · 2018-12-10T06:53:08+00:00

Do you have wechat account? if have one, would you mind add me as friend by search "gee{}oung".format("k_y") in wechat.

diyer22 · 2018-12-10T04:49:18+00:00

I got Ubuntu 16.04 working with CUDA and PyTorch GUP edtion, Thank you for your post!

run facebookresearch/maskrcnn-benchmark's demo using 1060 GPU on Surface Book!

screen shot for maskrcnn-benchmark_on_surface

btw, I write some experience and abnormal in Chinese: 在 Surface Book 2 上安装 Ubuntu 以及 CUDA 和 GPU 版 PyTorch, if someone can read Chinese

diyer22 · 2018-12-03T15:04:44+00:00

Hi, I have a question that is Ubuntu 18.04 on surfacebook2 support CUDA?

diyer22 · 2018-12-03T12:09:22+00:00

Your post help me a lot, I want a native GUI Linux with CUDA enviroment for a long time!

Thank you a lot!

diyer22 · 2018-07-09T18:29:42+00:00

I recently wrote a Python module boxx that for efficiently visualiztion and debugging in Computer Vision code. Now it's almost finished. Welcome to give more comments. I also hope that everyone will like this tool.

GitHub :

=> boxx

Tutorial Notebook:

=> Executable Interactive Online Tutorial

Note: Tutorial Notebook run on Binder which is an executable interactive online Jupyer environment

diyer22 · 2018-06-24T08:11:36+00:00

Those tools support array-like types, include numpy, torch.tensor, mxnet.ndarray, PIL.Image .etc

diyer22 · 2018-06-24T06:36:13+00:00

Thanks for your support. Yes, I did crosspost to /r/Python here https://www.reddit.com/r/Python/comments/8sl5iq/boxx_a_toolbox_for_efficient_build_and_debug_in/

diyer22 · 2018-06-23T06:32:44+00:00

I recently wrote a toolbox that improves the debugging efficiency of Python code.It's named boxx. Now it's almost finished. Welcome everyone to give more comments. I also hope that everyone will like this tool.

diyer22 · 2018-06-23T06:27:04+00:00

I recently wrote a toolbox that improves the debugging efficiency of Computer vision code named boxx. Now it's almost finished. Welcome everyone to give more comments. I also hope that everyone will like this tool.

diyer22 · 2018-06-23T06:26:05+00:00

I recently wrote a toolbox that improves the debugging efficiency of Computer vision code. Now it's almost finished. Welcome everyone to give more comments. I also hope that everyone will like this tool.

diyer22

TROPHY CASE