I think people are confusing the smaller non-DeepSeek original models (Qwen/Llama) with the 700B DeepSeek R1 model being talked about in here and that very few people can run locally.
[0] direct link with login https://x.com/carrigmat/status/1884244369907278106
[1] alt link without login https://threadreaderapp.com/thread/1884244369907278106.html
This person doesn't have the budget, but does have the technical chops to the level of "extremely unusual". I'll have to get them to teach me more about AI.
eh? doesn't the distilled+quantized version of the model fit on a high-end consumer grade gpu?
Sure, you could say that only running the 600+b model is running "the real thing"...
You can pretend it's R1, and if it works for your purpose that's fine, but it won't perform anywhere near the same as the real model, and any tests performed on it are not representative of the real model.
For everyone who doesn’t build LLMs themselves, “running a Llama:7B model fined-tuned on DeepSeek.” _is_ using Deepseek mostly on account of all the tools and files being named DeepSeek and the tutorials that are aimed as casual users all are titled with equivalents of “How to use DeepSeek locally”
Most people confuse mass and weight, that does not mean weight and mass are the same thing.
It is quite interesting that this censorship survives quantization, perhaps the larger versions censor even more. But yes, there probably is an extra step that detects "controversial content" and then overwrites the output.
Since the data feeding DeepSeek is public, you can correct the censorship by building your own model. For that you need considerably more compute power though. Still, for the "small man", what they released is quite helpful despite the censorship.
At least you can retrace how it ends up in the model, which isn't true for most other open weight models, that cannot release their training data due to numerous reasons beyond "they don't want to".
If this family member is experimenting with DeepSeek locally, they are an extremely unusual person and have spent upwards of $10,000 if not $200,000. [0]
> ...partially print the word, then in response to a trigger delete all the tokens generated to date and replace them...
It was not running locally. This is classic bolt-on censorship behavior. OpenAI does this if you ask certain questions too.
If everyone keeps loudly asking these questions about censorship, it seems inevitable that the political machine will realize weights can't be trivially censored. What will they do? Start imprisoning anyone who releases non-lobotomized open models. In the end, the mob will get what it wants.
[0] I am extremely surprised that a 15-year-long HN user has to ask this question, but you know what they say: the future is not fairly distributed.