turboderp/Llama-3.3-Nemotron-Super-49B-v1-exl3 at 3.0bpw
huggingface.co
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This is one of the “smartest” models you can fit on a 24GB GPU now, with no offloading and very little quantization loss. It feels big and insightful, like a better (albeit dry) Llama 3.3 70B with thinking, and with more STEM world knowledge than QwQ 32B, but comfortably fits thanks the new exl3 quantization!

Quantization Loss

You need to use a backend that support exl3, like (at the moment) text-gen-web-ui or (soon) TabbyAPI.

    • brucethemoose@lemmy.worldOPEnglish
      2·
      13 days ago

      Yeah, it’s an Nvidia model trained for STEM, and really good at that for a ‘3090 sized model.’ For reference, this was a zero-temperature answer.

      exllamav3 is a game changer. 70Bs sorta fit, but I think 50B is the new sweetspot (or 32B with tons of context).