LocalLLaMA@sh.itjust.worksEnglish · 21 days ago

unsloth/DeepSeek-V4-Flash-0731-GGUF · Hugging Face

huggingface.co

unsloth/DeepSeek-V4-Flash-0731-GGUF · Hugging Face

huggingface.co

BeefAndPoultry@lemmus.org to

LocalLLaMA@sh.itjust.worksEnglish · 21 days ago

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

the quality of GLM 5.2 in just 155 or 162 GB?

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20 days ago
Did some more testing on it? This isnt a small model and i havent found the space to save it on my machines yet haha

LocalLLaMA@sh.itjust.works

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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.

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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.

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