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DeepSeek-v3.1

api-docs.deepseek.com

121–130 of 273 posts

Re: DeepSeek-v3.1

#122

It still cant name all the states in India

That's interesting. I am curious about the extent of the training data in these models.

I asked Kimi K2 for an account of growing up in my home town in Scotland, and it was ridiculously accurate. I then asked it to do the same for a similarly sized town in Kerala. ChatGPT suggested that while it was a good approximation, K2 got some of the specifics wrong.

Re: DeepSeek-v3.1

#123
just saw this on Chinese internet - deepseek officially mentioned that v3.1 is trained using UE8M0 FP8 as that is the FP8 to be supported by the next gen Chinese AI chip. so basically -

some Chinese next gen AI chips is coming, deepseek is working with them to get its flagship model trained using such domestic chips.

interesting time ahead! just imagine what it could do to NVIDIA share price when deepseek releases a SOTA new model trained without using NVIDIA chips.

Re: DeepSeek-v3.1

#124
post #123

just saw this on Chinese internet - deepseek officially mentioned that v3.1 is trained using UE8M0 FP8 as that is the FP8 to be supported by the next gen Chinese AI chip. so basically - some Chinese next gen AI chips is coming, deepseek is working with them to get its flagship model trained using such domestic chips. interesting time ahead! just imagine what it could do to NVIDIA share price when deepseek releases a…

V interesting, thanks for sharing

Re: DeepSeek-v3.1

#125
post #86

Looks to be the ~same intelligence as gpt-oss-120B, but about 10x slower and 3x more expensive? https://artificialanalysis.ai/models/deepseek-v3-1-reasoning

> same intelligence as gpt-oss-120B

Let's hope not, because gpt-oss-120B can be dramatically moronical. I am guessing the MoE contains some very dumb subnets.

Benchmarks can be a starting point, but you really have to see how the results work for you.

Re: DeepSeek-v3.1

#126
post #75

Earlier quoted context omitted.

Dude, this is NEVER ok. What in the world??? A third party LIBRARY running sudo commands? That’s just insane. You just fail and print a nice error message telling the user exactly what they need to do, including the exact apt command or whatever that they need to run.

Yes I had that at the start, but people kept complaining they don't know how to actually run terminal commands, hence the shortcut :( I was thinking if I can do it during the pip install or via setup.py which will do the apt-get instead. As a fallback, I'll probably for now remove shell executions and just warn the user

IMO the correct thing to do to make these people happy, while being sane, is - do not build llama.cpp on their system. Instead, bundle a portable llama.cpp binary along with unsloth, so that when they install unsloth with `pip` (or `uv`) they get it.

Some people may prefer using whatever llama.cpp in $PATH, it's okay to support that, though I'd say doing so may lead to more confused noob users spam - they may just have an outdated version lurking in $PATH.

Doing so makes unsloth wheel platform-dependent, if this is too much of a burden, then maybe you can just package llama.cpp binary and have it on PyPI, like how scipy guys maintain a https://pypi.org/project/cmake/ on PyPI (yes, you can `pip install cmake`), and then depends on it (maybe in an optional group, I see you already have a lot due to cuda shit).

Re: DeepSeek-v3.1

#127
post #126

Earlier quoted context omitted.

Yes I had that at the start, but people kept complaining they don't know how to actually run terminal commands, hence the shortcut :( I was thinking if I can do it during the pip install or via setup.py which will do the apt-get instead. As a fallback, I'll probably for now remove shell executions and just warn the user

IMO the correct thing to do to make these people happy, while being sane, is - do not build llama.cpp on their system. Instead, bundle a portable llama.cpp binary along with unsloth, so that when they install unsloth with `pip` (or `uv`) they get it. Some people may prefer using whatever llama.cpp in $PATH, it's okay to support that, though I'd say doing so may lead to more confused noob users spam - they may just ha…

Oh yes I was working on providing binaries together with pip - currently we're relying on pyproject.toml, but once we utilize setup.py (I think), using binaries gets much simpler

I'm still working on it, but sadly I'm not a packaging person so progress has been nearly zero :(

Re: DeepSeek-v3.1

#128
post #50

Earlier quoted context omitted.

tbh companies like anthopic, openai, create custom agents for specific benchmarks

Aren't good benchmarks supposed to be secret?

How can a benchmark be secret if you post it to an API to test a model on it?

"We totally promise that when we run your benchmark against our API we won't take the data from it and use to be better at your benchmark next time"

:P

If you want to do it properly you have to avoid any 3rd party hosted model when you test your benchmark, which means you can't have GPT5, claude, etc. on it; and none of the benchmarks want to be 'that guy' who doesn't have all the best models on it.

So no.

They're not secret.

Re: DeepSeek-v3.1

#129
post #86

Looks to be the ~same intelligence as gpt-oss-120B, but about 10x slower and 3x more expensive? https://artificialanalysis.ai/models/deepseek-v3-1-reasoning

Other benchmark aggregates are less favorable to GPT-OSS-120B: https://arxiv.org/abs/2508.12461

With all these things, it depends on your own eval suite. gpt-oss-120b works as well as o4-mini over my evals, which means I can run it via OpenRouter on Cerebras where it's SO DAMN FAST and like 1/5th the price of o4-mini.

Re: DeepSeek-v3.1

#130
not sure if its just chat.deepseek.com but one strange thing I've noticed is that now it replies to like 90% of your questions with "Of course.", even when it doesnt fit the prompt at all. maybe it's the backend injecting it to be more obedient? but you can tell it `don't begin the reply to this with "of" ending "course"` and it will listen. it's very strange

Some people on reddit (very reliable source I know) are saying it was trained on a lot of Gemini and I can see that. for example it does that annoying thing gemini does now where when you use slang or really any informal terms it puts them in quotes in its reply

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