Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
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Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#2[deleted]
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#3I still can't access the hosted model at meta.ai from Puerto Rico, despite us being U.S. citizens. I don't know what Meta has against us.
Could someone try giving the 90b model this word search problem [0] and tell me how it performs? So far with every model I've tried, none has ever managed to find a single word correctly.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#4I still can't access the hosted model at meta.ai from Puerto Rico, despite us being U.S. citizens. I don't know what Meta has against us. Could someone try giving the 90b model this word search problem [0] and tell me how it performs? So far with every model I've tried, none has ever managed to find a single word correctly. [0] https://imgur.com/i9Ps1v6
[deleted]
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#5- Llama 3.2 introduces small vision LLMs (11B and 90B parameters) and lightweight text-only models (1B and 3B) for edge/mobile devices, with the smaller models supporting 128K token context.
- The 11B and 90B vision models are competitive with leading closed models like Claude 3 Haiku on image understanding tasks, while being open and customizable.
- Llama 3.2 comes with official Llama Stack distributions to simplify deployment across environments (cloud, on-prem, edge), including support for RAG and safety features.
- The lightweight 1B and 3B models are optimized for on-device use cases like summarization and instruction following.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#6I'm blown away with just how open the Llama team at Meta is. It is nice to see that they are not only giving access to the models, but they at the same time are open about how they built them. I don't know how the future is going to go in the terms of models, but I sure am grateful that Meta has taken this position, and are pushing more openness.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#7This is great! Does anyone know if the llama models are trained to do function calling like openAI models are? And/or are there any function calling training datasets?
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#8I still can't access the hosted model at meta.ai from Puerto Rico, despite us being U.S. citizens. I don't know what Meta has against us. Could someone try giving the 90b model this word search problem [0] and tell me how it performs? So far with every model I've tried, none has ever managed to find a single word correctly. [0] https://imgur.com/i9Ps1v6
This is likely because the models use OCR on images with text, and once parsed the word search doesn't make sense anymore.
Would be interesting to see a model just working on raw input though.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#9I still can't access the hosted model at meta.ai from Puerto Rico, despite us being U.S. citizens. I don't know what Meta has against us. Could someone try giving the 90b model this word search problem [0] and tell me how it performs? So far with every model I've tried, none has ever managed to find a single word correctly. [0] https://imgur.com/i9Ps1v6
Non US citizens can access the model just fine, if that's what you are implying.
Re: Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
#10I'm blown away with just how open the Llama team at Meta is. It is nice to see that they are not only giving access to the models, but they at the same time are open about how they built them. I don't know how the future is going to go in the terms of models, but I sure am grateful that Meta has taken this position, and are pushing more openness.
Do they tell you what training data they use for alignment? As in, what biases they intentionally put in the system they’re widely deploying?