"open source"

show me.

Apache 2.0 License. Did you not click the link to the project? They even list it in the article.

> Apache 2.0 across the board, so commercial use is clean.

Did you just stop when you saw open source and come post this here because you couldn't be bothered to... look at the project and see it's cleanly and clearly listed.

Edit: Like. I get it. It's fine to question open source. But this isn't hidden. It's repeated and made clear multiple times. They even link to the license: https://www.apache.org/licenses/LICENSE-2.0

It wasn't hidden, it wasn't in some weird, out-of-the-way place. In fact, I found it so easily that I genuinely questioned whether it was real because of your comment. Like, why would anyone post what you posted if it was this easy to find?

NOPE! It was right there.

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speedgoose 2 days ago | parent [-]

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

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EagnaIonat 2 days ago | parent | next [-]

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

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speedgoose 2 days ago | parent | next [-]

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

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EagnaIonat 2 days ago | parent [-]

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

https://github.com/ibm-granite

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speedgoose 2 days ago | parent [-]

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.

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EagnaIonat a day ago | parent | next [-]

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.

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speedgoose a day ago | parent [-]

Where is the list?

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

	▲	EagnaIonat an hour ago \| parent [-]
		I'd like to assume you are not trolling and just want everything handed to you. The granite site covers everything you keep asking for. Granite is made using lm-engine and the details are there. Without the weights you are not going to be able to build to the same level of accuracy without some serious work.

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jeraldbenny a day ago | parent | prev [-]

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.

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speedgoose a day ago | parent [-]

I know, but that is not my point.

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jasonlotito 20 hours ago | parent [-]

You never had one. You tried to be clever and failed.

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speedgoose 18 hours ago | parent [-]

I don’t know. Since you are perhaps clever, can you show me the training datasets and recipes so I can replicate this model locally? I have access to good HPCs.

I think it’s fair if you use a bit more than 5 seconds as someone stated above. I would gladly be proven stupid.

	▲	EagnaIonat an hour ago \| parent [-]
		https://github.com/ibm-granite https://huggingface.co/ibm-granite I think if you were genuinely interested, you could have found this yourself.

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robotmaxtron 2 days ago | parent | prev [-]

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

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postalrat 2 days ago | parent [-]

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

	▲	robotmaxtron a day ago \| parent [-]
		I guess not

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nickpsecurity a day ago | parent | prev [-]

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.