LocalLLaMA@sh.itjust.worksEnglish · 16 days ago

KV Cache Quantization Benchmarks for Long Context

anbeeld.com

KV Cache Quantization Benchmarks for Long Context

anbeeld.com

Shatur@discuss.tchncs.de to

LocalLLaMA@sh.itjust.worksEnglish · 16 days ago

Tests on Qwen 3.6 27B show why TurboQuant is overrated but saved by TCQ, q5 deserves more attention, and symmetric q8 might be a waste of VRAM.

You must log in or register to comment.

Chat

pepperfree@sh.itjust.works
link
fedilink
English
arrow-up
1·
11 days ago
Is tcq better than kvarn?

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.

932 users / day
1.15K users / week
2.03K users / month
2.03K users / 6 months
1 local subscriber
5.6K subscribers
470 Posts
2.43K Comments
Modlog