this post was submitted on 01 Dec 2024
99 points (81.5% liked)

Technology

60111 readers
2055 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 2 years ago
MODERATORS
 

cross-posted from: https://futurology.today/post/2910566

Alibaba's Qwen team just released QwQ-32B-Preview, a powerful new open-source AI reasoning model that can reason step-by-step through challenging problems and directly competes with OpenAI's o1 series across benchmarks.

The details:

QwQ features a 32K context window, outperforming o1-mini and competing with o1-preview on key math and reasoning benchmarks.

The model was tested across several of the most challenging math and programming benchmarks, showing major advances in deep reasoning.

QwQ demonstrates ‘deep introspection,’ talking through problems step-by-step and questioning and examining its own answers to reason to a solution.

The Qwen team noted several issues in the Preview model, including getting stuck in reasoning loops, struggling with common sense, and language mixing.

Why it matters: Between QwQ and DeepSeek, open-source reasoning models are here — and Chinese firms are absolutely cooking with new models that nearly match the current top closed leaders. Has OpenAI’s moat dried up, or does the AI leader have something special up its sleeve before the end of the year?

you are viewing a single comment's thread
view the rest of the comments
[–] avidamoeba@lemmy.ca 7 points 3 weeks ago (1 children)

So you're telling me there's a chance.

[–] planish@sh.itjust.works 4 points 3 weeks ago (1 children)

I think there are consumer-grade GPUs that can run this on a single card with enough quantization. Or if you want to run it on CPU you can buy and plug in enough DIMMs if you have an only somewhat large amount of money.

[–] avidamoeba@lemmy.ca 4 points 3 weeks ago* (last edited 3 weeks ago)

Pulled whatever is available on Ollama by this name and it seems to just fit on a 3090. Takes 23GB VRAM.