this post was submitted on 27 Jun 2024
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Context: Gemma is a group of free-to-use AI models with a focus on being small. According to benchmarks this outperforms Llama 3.

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[–] eager_eagle 4 points 4 months ago (5 children)

how are the weights partially open?

[–] [email protected] 2 points 4 months ago (4 children)

Only portions of the code are published while the rest is kept under wraps. Classic corporate America bs finding a loop hole to use a trendy term.

[–] eager_eagle 2 points 4 months ago* (last edited 4 months ago) (3 children)

neural network weights are just files, collections of numbers forming matrices; how is a partially open collection of weights of any use

the weights are open

$ docker exec -it ollama ollama show gemma:7b
  Model                              
  	arch            	gemma	             
  	parameters      	9B   	             
  	quantization    	Q4_0 	             
  	context length  	8192 	             
  	embedding length	3072 	             
  	                                  
  Parameters                         
  	stop            	"<start_of_turn>"	 
  	stop            	"<end_of_turn>"  	 
  	penalize_newline	false            	 
  	repeat_penalty  	1                	 
  	                                  
  License                            
  	Gemma Terms of Use              	  
  	Last modified: February 21, 2024	
[–] jacksilver 3 points 4 months ago (1 children)

Since there is a user acceptance policy that restricts what you can do with the model that might be considered "partially" open.

Yeah you can see the weights, but it seems you are limited on what you can do with the weights. How we've gotten to the point you can protect these random numbers that I've shared with you through a UA is beyond me.

[–] eager_eagle 4 points 4 months ago (1 children)

the same happens with BloomZ, and that is listed as open

[–] jacksilver 3 points 4 months ago

Wasn't aware of that, I was just taking a guess.

That being said I wouldn't consider either open given those restrictions.

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