suoko@feddit.it to

LocalLLaMA@sh.itjust.worksEnglish · 8 days ago

I dropped Qwen and Gemma for a 27B model that runs smoothly on my 8GB graphics card - Bonsai 27B

www.xda-developers.com

39

I dropped Qwen and Gemma for a 27B model that runs smoothly on my 8GB graphics card - Bonsai 27B

www.xda-developers.com

suoko@feddit.it to

LocalLLaMA@sh.itjust.worksEnglish · 8 days ago

I dropped Qwen and Gemma for a 27B model that runs smoothly on my 8GB graphics card

www.xda-developers.com

Chasing a big number finally paid off

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fozid@lem.radiantfig.fyi
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9 days ago
I will cap mine for shorter chats to 32k, but for full blown complex tasks, I’ll turn it up to 130k. I run the q4 k m imatrix version

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.

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.

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