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0 pointswklauss1y ago0 comments

Ollama is pretty clear about it, it's not like they are trying to deceive. You can also download the 671B model with Ollama, if you like.

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whimsicalism1y ago

no they are not, they intentionally remove every reference to this not being r1 from the cli and changed the names from the ones both Deepseek and Huggingface used.

blacklightpy1y ago

Yet, I did not see a single issue made on the GitHub repository, and I just made one myself (https://github.com/ollama/ollama/issues/8698).

nyrikki1y ago

They used short strings for the names, which is very different from deception.

https://ollama.com/search

> DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

Well I guess if you are in the Enterprise Java naming model you would expect something like "VisitorModelUtilsListGetterAdapterInterceptorMessageManagerDrivenObserverPool"

If you look at their API docs you will see:

    model: name of the model to push in the form of <namespace>/<model>:<tag>

I don't think there is any reason to jump to the conclusion it is some type of conspiracy here, just naming things based on a API that probably didn't think about distillation when they created it.

woadwarrior011y ago

Yeah, they're so clear in fact that they call the distilled models "R1" in the url and everywhere on the page[1], instead of using the "DeepSeek-R1-Distill-" prefix, as DeepSeek themselves do[2].

[1]: https://ollama.com/library/deepseek-r1

[2]: https://github.com/deepseek-ai/DeepSeek-R1#deepseek-r1-disti...

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