I don't really use GPUs, as most of our work uses TPUs. I was just confused by @jeremyphoward 's statement that it wouldn't run on consumer GPUs, when the normal techniques of model parallelism, quantization, right compression, etc. seem like they should work just fine to run it
LLMS
-
Model Efficiency on Consumer-Grade GPU Hardware
By
–
Why? It seems as though the model can run on 4 consumer-grade GPUs, no?
-
Running AI Models on Consumer GPUs: Feasibility Analysis
By
–
You can probably run the model on 4 (or maybe 8?) consumer GPUs, no?
-
Run Llama 4 Models Easily with vLLM pip Installation
By
–
With vLLM via pip, run any of the models in the Llama 4 family with a simple command.
-
Llama-4 Scout and Maverick Models Now Available on Together
By
–
And you can now access the Together versions of these models, at https://
poe.com/Llama-4-Scout-T and https://
poe.com/Llama-4-Maveri
ck-T
… ! -
Study Questions Whether AI Models Truly Reason
By
–
Well this preprint’s title is already misleading because there is no evidence of “reasoning” in these models and even small changes in the benchmarks break and semblance of “reasoning.”
-
Llama 4 Ecosystem: Rich Experiences and New Model Details
By
–
We can’t wait to see the rich experiences people build in the new Llama ecosystem! Even more details on the Llama 4 herd in the model card
-
Llama 4 supports 12 languages with fine-tuning options
By
–
Llama 4 supports 12 languages for tasks like multilingual writing — and developers can fine-tune Llama 4 models for additional languages beyond these 12, provided they comply with the Llama 4 Community License and the Acceptable Use Policy.
