[speedgoose]

If I give you an amd64 elf binary under Apache2 license, is it open source?

[EagnaIonat]

Can you clarify what you mean?

If you check HF you will see its Apache2 and the datasets were also permissive.

It's one of the few models on the market where the creator indemnifies it against copyright claims.

https://research.ibm.com/blog/granite-ethical-ai

[speedgoose]

Oh sorry. Do we have the sources like Nvidia's Nemotron?

[EagnaIonat]

You could have found in 5 seconds. The weights are also open sourced as well.

https://github.com/ibm-granite

[speedgoose]

Maybe I suck but I didn’t find that in 5 seconds. Or with more time.

I meant the full training datasets and the complete recipes to make the models.

[EagnaIonat]

The training datasets are listed there and are all open source.

> the complete recipes to make the models.

You mean the weights which most companies don't release. Again you can find from that link.

[speedgoose]

Where is the list?

No I didn't mean the weights, but the source code to make the weights.

[jeraldbenny]

if you are googling you can find so many open source dataset. Also use kaggle, they're also having training datasets which we can use.

[speedgoose]

I know, but that is not my point.

[robotmaxtron]

if I can't reproduce the artifact, is it really open source?

[postalrat]

If IBM themselves can't reproduce the artifact do they have the source?

[robotmaxtron]

I guess not

[nickpsecurity]

Open source for ML is more like Allen Institute's Olmo models.

https://allenai.org/olmo

I'm just giving it as an example. I haven't looked at Granite's repos.