Spyke
fosai·Free Open-Source Artificial IntelligencebyBlaed

What open-source LLMs are you using in 2024?

There has been an overwhelming amount of new models hitting HuggingFace. I wanted to kick off a thread and see what open-source LLM has been your new daily driver?

Personally, I am using many Mistral/Mixtral models and a few random OpenHermes fine-tunes for flavor. I was also pleasantly surprised by some of the DeepSeek models. Those were fun to test.

I believe 2024 is the year open-source LLMs will catchup with GPT-3.5 and GPT-4. We're already most of the way there. Curious to hear what new contenders are on the block and how others feel about their performance/precision compared to other state-of-the-art (closed) source models.

View original on lemmy.world

What sort of tokens per second are you seeing with your hardware? Mind sharing some notes on what you're running there? Super curious!

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sffa.community

I would also be interested in Code-Pilot Models that are reaching for same performance like GitHub or Microsofts paid Models.

Currently I use TabbyML but the available Models are by far inferior.

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I was pleasantly surprised by many models of the Deepseek family. Verbose, but in a good way? At least that was my experience. Love to see it mentioned here.

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Personally I find myself renting GPU and running Goliath 120b. Smaller models could do what I’m doing if I spent more time optimizing my prompts. But every day I’m doing different tasks, and Goliath 120b will just handle whatever I throw at it, no matter how sloppy I am. I’ve also been playing with LLAVA and Hermes vision models to describe images to me. However, when I really need alt-text for an image I can’t see, I still find myself resorting to GPT4; the open source options just aren’t as accurate or detailed.

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