llama.cpp v0.5.0

github.com

llama.cpp v0.5.0

github.com

BeefAndPoultry@lemmus.org to

LocalLLaMA@sh.itjust.worksEnglish · 7 days ago

Release v0.5.0 · ggml-org/llama.cpp

github.com

Overview This release focuses on backend performance and correctness, broader model coverage, and more robust server/router operation. It adds HRM-Text (DFM Mimir 1B) support, MiMo-V2.6 and Hunyuan...

Some highlights:

Add Qwen4Exp hyper-connection ops and sparse flash attention (#28901, #28770)
Add Ling 3.0, DeepSeek V3.2/V4, qwen3-coder, Muse Glimmer and Gemma 4 parser fixes (#28682, #29008, #28869, #29242, #29115)

You must log in or register to comment.

Chat

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.

30 users / day
192 users / week
508 users / month
1.45K users / 6 months
26 local subscribers
5.18K subscribers
595 Posts
3.22K Comments
Modlog