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