Only the inference code of LLaMA (which runs the model) is open-source. The model itself is not, as you’re given neither the training data, nor the model weights.
I don’t know much about AI models, but that’s still more than other vendors are giving away, right? Especially "Open"AI. A lot of people just care if they can use the model for free.
How useful would the training data be? Training of the largest Llama model was done on a cluster of over 100,000 Nvidia H100s so I’m not sure how many people would want to repeat that.
scientific institutions and governments could rent enough GPUs to train their own models, with potentially public funding and public accountability, and also it’d be nice to know if the data llama was trained with was literally just facebook user data. i’m not really in the camp of “if user content is on my site then the content belongs to me”.
Without the same training data you wouldn’t be able to recreate the results even when having the computing power. Thus it’s not fully open source. Training data is a part of the source to create the result, “LLM”. It’s like having to add your own lines of code to open source program to make it work because the company doesn’t provide it.
How on earth would you distribute the model for inference without the weights? The gradients are obviously gone so you can’t continue training on the model. Maybe you can still do some kind of LORA?
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Only the inference code of LLaMA (which runs the model) is open-source. The model itself is not, as you’re given neither the training data, nor the model weights.
I don’t know much about AI models, but that’s still more than other vendors are giving away, right? Especially "Open"AI. A lot of people just care if they can use the model for free.
How useful would the training data be? Training of the largest Llama model was done on a cluster of over 100,000 Nvidia H100s so I’m not sure how many people would want to repeat that.
scientific institutions and governments could rent enough GPUs to train their own models, with potentially public funding and public accountability, and also it’d be nice to know if the data llama was trained with was literally just facebook user data. i’m not really in the camp of “if user content is on my site then the content belongs to me”.
Without the same training data you wouldn’t be able to recreate the results even when having the computing power. Thus it’s not fully open source. Training data is a part of the source to create the result, “LLM”. It’s like having to add your own lines of code to open source program to make it work because the company doesn’t provide it.
How on earth would you distribute the model for inference without the weights? The gradients are obviously gone so you can’t continue training on the model. Maybe you can still do some kind of LORA?