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Unfortunate name. Can you connect Tabby to the OpenAI-compatible TabbyAPI? https://github.com/theroyallab/tabbyAPI


I though that Tabby, the ssh client [1], got AI capabilities...

[1] https://github.com/Eugeny/tabby


At least per Github, the TabbyML project is older than the TabbyAPI project.


Also, wildly more popular, to the tune of several magnitudes more forks and stars. If anything, this question should be asked of the TabbyAPI project.


I'm not sure what's going on with TabbyAPI's github metrics, but exl2 quants are very popular among nvidia local LLM crowd and TabbyAPI comes in tons of reddit posts of people using it. Might be just my bubble, not saying they're not accurate, just generally surprised such a useful project has under 1k stars. On the flip side, LLMs will hallucinate about TabbyML if you ask it TabbyAPI related questions, so I'd agree the naming is unfortunate.



Which directs you to https://gitflic.ru/project/magnolia1234/bpc_uploads which is not ideal...


I agree. Though there is a counterpoint that a Russian host isn't going to respect a DMCA request. On the flipside it's a Russian replacement for Github that is based on Gogs, Gitea, or even Forgejo possibly. So yeah, YMMV.


Watson was not a product but a brand name they applied to lots of things. I am sure Granite will show up in here: https://www.ibm.com/watsonx



It is probably the most famous HN comment ever made and comes up often. It is a dismissive response to Dropbox years ago:

https://news.ycombinator.com/item?id=9224


Thanks for the explanation. I guess my only hope for not looking like I had a bad opinion is people’s intertia to move beyond CoPilot.


Meta has supported hand tracking since the Quest 1. It works fine but for many high speed action tasks (e.g., games), it doesn't work as well.


> It works fine

It's decent but I don't think I'd say "fine". Most games (if they support both) work a million times better with the controllers. I tried hand tracking in a number of games on the Q2 and found it very lackluster. We will see if the AVP is able to deliver on their promise but already from the demos they've done it seems way more responsible/reliable than what I experienced on the Q2.


I really like Inkbot! Are you working on a new version? How about one from Yi 34B?


Yeah, I will be soon.

I was busy adding `chat template` support to vLLM recently, so the model (and any others that implement it properly) will work seamlessly with a clone of the OpenAI chat/completions endpoint.

https://github.com/vllm-project/vllm/pull/1756

Now that I have that out of the way, back to model training ;).


Very cool, looking forward to it!


Choose whichever one outperforms ada-002 for your task here: https://huggingface.co/spaces/mteb/leaderboard


I'll bet they're using this, that's exactly what it is designed for: https://tljh.jupyter.org/en/latest/

Alternatively, you could do something similar with Google Colab and a notebook you make to serve as a template.


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