It is amazing, but "open source model" means "model I can understand and modify" (= all the training data and processes). Open weights is an equivalent of binary driver blobs everyone hates. "Here is an opaque thing, you have to put it on your computer and trust it, and you can't modify it."
Kimi K2.5 Technical Report [pdf]
131–140 of 146 posts
Re: Kimi K2.5 Technical Report [pdf]
#132Earlier quoted context omitted.
I'm not running it locally (it's gigantic!) I'm using the API at https://platform.moonshot.ai
What's the point of using an open source model if you're not self-hosting?
Re: Kimi K2.5 Technical Report [pdf]
#133Re: Kimi K2.5 Technical Report [pdf]
#134Earlier quoted context omitted.
You can plug another model in place of Anthropic ones in Claude Code.
That tends to work quite poorly because Claude Code does not use standard completions APIs. I tried it with Kimi, using litellm[proxy], and it failed in too many places.
Just connect Claude Code to Kimi's API endpoint and everything works well
https://www.kimi.com/code/docs/en/more/third-party-agents.ht...
Re: Kimi K2.5 Technical Report [pdf]
#135Seems that K2.5 has lost a lot of the personality from K2 unfortunately, talks in more ChatGPT/Gemini/C-3PO style now. It's not explictly bad, I'm sure most people won't care but it was something that made it unique so it's a shame to see it go. examples to illustrate https://www.kimi.com/share/19c115d6-6402-87d5-8000-000062fec... (K2.5) https://www.kimi.com/share/19c11615-8a92-89cb-8000-000063ee6... (K2)
K2 in your example is using the GPT reply template (tl;dr - terse details - conclusion, with contradictory tendencies), there's nothing unique about it. That's exactly how GPT-5.0 talked. The only model with a strong "personality" vibe was Claude 3 Opus.
Did you have the chance to use 3.5 (or 3.6) Sonnet, and if yes, how did they compare?
As a non-paying user, 3.5 era Claude was absolutely the best LLM I've ever used in terms of having a conversation. It felt like talking to a human and not a bot. Its replies were readable, even if they were several paragraphs long. I've unfortunately never found anything remotely as good.
Re: Kimi K2.5 Technical Report [pdf]
#136Earlier quoted context omitted.
K2 in your example is using the GPT reply template (tl;dr - terse details - conclusion, with contradictory tendencies), there's nothing unique about it. That's exactly how GPT-5.0 talked. The only model with a strong "personality" vibe was Claude 3 Opus.
> The only model with a strong "personality" vibe was Claude 3 Opus. Did you have the chance to use 3.5 (or 3.6) Sonnet, and if yes, how did they compare? As a non-paying user, 3.5 era Claude was absolutely the best LLM I've ever used in terms of having a conversation. It felt like talking to a human and not a bot. Its replies were readable , even if they were several paragraphs long. I've unfortunately never found a…
[1] https://www.anthropic.com/research/claude-character (see the last 2 paragraphs)
Re: Kimi K2.5 Technical Report [pdf]
#137Re: Kimi K2.5 Technical Report [pdf]
#138Re: Kimi K2.5 Technical Report [pdf]
#139Earlier quoted context omitted.
Open source models costs are determined only by electricity usage, as anyone can rent a GPU qnd host them Closed source models cost x10 more just because they can A simple example is Claude Opus, which costs ~1/10 if not less in Claude Code that doesn't have that price multiplier
But Kimi seems so big that renting the necessary number of GPUs is a non trivial exercise.
Re: Kimi K2.5 Technical Report [pdf]
#140I've been using this model (as a coding agent) for the past few days, and it's the first time I've felt that an open source model really competes with the big labs. So far it's been able to handle most things I've thrown at it. I'm almost hesitant to say that this is as good as Opus.
Out of curiosity, what kind of specs do you have (GPU / RAM)? I saw the requirements and it's a beyond my budget so I am "stuck" with smaller Qwen coders.