DeepSeek-v3.1
121–130 of 273 posts
Re: DeepSeek-v3.1
#122It still cant name all the states in India
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
#123some 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
#124just 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…
Re: DeepSeek-v3.1
#125Looks 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
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
#126Earlier 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
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it's okay to support that, though I'd say doing so may lead to more confused noob users spam - they may just have an outdated version lurking in $PATH.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
#127Earlier 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…
I'm still working on it, but sadly I'm not a packaging person so progress has been nearly zero :(
Re: DeepSeek-v3.1
#128Earlier quoted context omitted.
tbh companies like anthopic, openai, create custom agents for specific benchmarks
Aren't good benchmarks supposed to be secret?
"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
#129Looks 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
Re: DeepSeek-v3.1
#130Some 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