LocalLLaMA@sh.itjust.worksEnglish · 2 days ago

Qwen3.6 27B released

huggingface.co

Qwen3.6 27B released

huggingface.co

TheCornCollector@piefed.zip to

LocalLLaMA@sh.itjust.worksEnglish · 2 days ago

Qwen/Qwen3.6-27B · Hugging Face

huggingface.co

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Recently made a post about the 35b MOE. Now the dense 27b variant has been released.

Chat

strifegroove@ani.social
link
fedilink
English
arrow-up
2·
8 hours ago
You would be surprised by the smaller 7-12B LLMs. Give them tools and they can work well

LocalLLaMA@sh.itjust.works

localllama@sh.itjust.works

Create a post

You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !localllama@sh.itjust.works

Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they’re still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

Visibility: Public

This community can be federated to other instances and be posted/commented in by their users.

67 users / day
250 users / week
451 users / month
1.23K users / 6 months
2 local subscribers
4.61K subscribers
491 Posts
2.63K Comments
Modlog