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Nice marketing that is written for investors. Let us translate: > By making our Llama models openly available we’ve seen a vibrant and diverse AI ecosystem com

Nice marketing that is written for investors. Let us translate: > By making our Llama models openly available we’ve seen a vibrant and diverse AI ecosystem come to life [...] They all use the same model and the same transformer algorithm. The model has an EULA, you need to apply for downloading it, the training data set and the training software are closed. > Open source promotes a more competitive ecosystem that’s good for consumers, good for companies (including Meta), and ultimately good for the world. So the "competitive" system means that everyone uses LLama and PyTorch. > In addition to Amazon Web Services (AWS) and Microsoft’s Azure, we’ve partnered with Databricks, Dell, Google Cloud, Groq, NVIDIA, IBM watsonx, Scale AI, Snowflake, and others to better help developers unlock the full potential of our models. Sounds really open.

nightski 2y ago
Far more open than the competition. I'll take it.
- koolala 2y ago
  Don't let a gift be a curse.
ru552 2y ago
>They all use the same model and the same transformer algorithm. The model has an EULA, you need to apply for downloading it, the training data set and the training software are closed. Everything in that sentence is false except the training data part. >So the "competitive" system means that everyone uses LLama and PyTorch. This sentence shows you don't understand the LLM landscape and it's also false. >Sounds really open Correct. They partner with practically every vendor available for inference, which, isn't even needed if you run their models locally. Meta has done a lot of wrong things over the years. How they are approaching LLMs is not one of them.
- freilanzer 2y ago
  > Everything in that sentence is false except the training data part. You do need to apply on Huggingface to download the model. > This sentence shows you don't understand the LLM landscape and it's also false. PyTorch definitely is the most used ML framework.
- arbven 2y ago
  Could you provide a link for downloading the complete and exact training software for the latest models? You need to provide an email address and click a license agreement. Then you get a download link that expires after a day. I do not have to do this with the Linux kernel. Perhaps you are downloading from within Meta and are not exposed to these issues?
ekianjo 2y ago
erm its is still way more open than "openAI" or Anthropic...
- koolala 2y ago
  [flagged]
bob1029 2y ago
> The model has an EULA, you need to apply for downloading it I am confused - I grabbed Ollama and pulled down some of these models. I don't recall having to go through any legal agreements. I just type: ollama pull llama3.1 Maybe I missed something and am actually 10 steps behind. Who knows anymore. This whole space is totally insane to me.
- arbven 2y ago
  https://github.com/meta-llama/llama3 https://github.com/meta-llama/llama3 "To download the model weights and tokenizer, please visit the Meta Llama website and accept our License. Once your request is approved, you will receive a signed URL over email. Then, run the download.sh script, passing the URL provided when prompted to start the download. Pre-requisites: Ensure you have wget and md5sum installed. Then run the script: ./download.sh. Remember that the links expire after 24 hours and a certain amount of downloads. You can always re-request a link if you start seeing errors such as 403: Forbidden."
  - bob1029 2y ago
    Go try it. https://ollama.com https://ollama.com You may come away surprised.
    - SushiHippie 2y ago
      You still agree to this EULA by using it: https://ollama.com/library/llama3.1/blobs/0ba8f0e314b4 https://ollama.com/library/llama3.1/blobs/0ba8f0e314b4 > By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement.
      - bob1029 2y ago
        > You still agree to this EULA by using it I think my lawyer would have a few things to say about automatic legal agreements hidden somewhere in source control. Is the ollama project part of Meta? Is that what's going on here?
rjdagost 2y ago
Meta has spent massive sums of money to train these models and they've released the models to the public. You can fine-tune the models. You can see the source code and the architecture of the model. The EULA is commercially-friendly. You are free to quibble over how truly "open source" these models are, but I am very thankful that Meta has released them.
- koolala 2y ago
  Thank them then. Please don't use your gratitude to also wash out an entire cultural idea because billionares make you grateful.
- kfhga 2y ago
  Open source developers have spent far more time to develop the truly free stack that Meta uses to power its business in the first place. I am grateful to these developers. I am not grateful for a half open release and the redefinition of established terms. Which, judging by the downvoting in this thread, are now spread with fire and sword.
  - phyrex 2y ago
    A lot of these open source developers that made and improved this "truly free stack" are employed by meta and other big techs
    - alsjas 2y ago
      The stack was very usable in 2010. At that time, some gcc and kernel developers were employed by SuSE and RedHat. It was not common to be employed by a large corporation to work on open source. Projects like Python were completely usable then. But the corporations came, infiltrated existing projects and added often useless things. Python is not much better now than in 2010. So you have perhaps React and PyTorch. That is a tiny bit of the huge OSS stack. Does Meta pay for ncurses? for xterm? Of course not, it only supports flashy projects that are highly marketable and takes the rest for granted. So no, only a tiny fraction of the really important OSS devs are employed by FAANG.

nightski 2y ago

Far more open than the competition. I'll take it.

koolala 2y ago
Don't let a gift be a curse.

ru552 2y ago

>They all use the same model and the same transformer algorithm. The model has an EULA, you need to apply for downloading it, the training data set and the training software are closed. Everything in that sentence is false except the training data part. >So the "competitive" system means that everyone uses LLama and PyTorch. This sentence shows you don't understand the LLM landscape and it's also false. >Sounds really open Correct. They partner with practically every vendor available for inference, which, isn't even needed if you run their models locally. Meta has done a lot of wrong things over the years. How they are approaching LLMs is not one of them.

freilanzer 2y ago
> Everything in that sentence is false except the training data part. You do need to apply on Huggingface to download the model. > This sentence shows you don't understand the LLM landscape and it's also false. PyTorch definitely is the most used ML framework.
arbven 2y ago
Could you provide a link for downloading the complete and exact training software for the latest models? You need to provide an email address and click a license agreement. Then you get a download link that expires after a day. I do not have to do this with the Linux kernel. Perhaps you are downloading from within Meta and are not exposed to these issues?

ekianjo 2y ago

erm its is still way more open than "openAI" or Anthropic...

koolala 2y ago
[flagged]

bob1029 2y ago

> The model has an EULA, you need to apply for downloading it I am confused - I grabbed Ollama and pulled down some of these models. I don't recall having to go through any legal agreements. I just type: ollama pull llama3.1 Maybe I missed something and am actually 10 steps behind. Who knows anymore. This whole space is totally insane to me.

arbven 2y ago
https://github.com/meta-llama/llama3 https://github.com/meta-llama/llama3 "To download the model weights and tokenizer, please visit the Meta Llama website and accept our License. Once your request is approved, you will receive a signed URL over email. Then, run the download.sh script, passing the URL provided when prompted to start the download. Pre-requisites: Ensure you have wget and md5sum installed. Then run the script: ./download.sh. Remember that the links expire after 24 hours and a certain amount of downloads. You can always re-request a link if you start seeing errors such as 403: Forbidden."
- bob1029 2y ago
  Go try it. https://ollama.com https://ollama.com You may come away surprised.
  - SushiHippie 2y ago
    You still agree to this EULA by using it: https://ollama.com/library/llama3.1/blobs/0ba8f0e314b4 https://ollama.com/library/llama3.1/blobs/0ba8f0e314b4 > By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials, you agree to be bound by this Agreement.
    - bob1029 2y ago
      > You still agree to this EULA by using it I think my lawyer would have a few things to say about automatic legal agreements hidden somewhere in source control. Is the ollama project part of Meta? Is that what's going on here?

rjdagost 2y ago

Meta has spent massive sums of money to train these models and they've released the models to the public. You can fine-tune the models. You can see the source code and the architecture of the model. The EULA is commercially-friendly. You are free to quibble over how truly "open source" these models are, but I am very thankful that Meta has released them.

koolala 2y ago
Thank them then. Please don't use your gratitude to also wash out an entire cultural idea because billionares make you grateful.
kfhga 2y ago
Open source developers have spent far more time to develop the truly free stack that Meta uses to power its business in the first place. I am grateful to these developers. I am not grateful for a half open release and the redefinition of established terms. Which, judging by the downvoting in this thread, are now spread with fire and sword.
- phyrex 2y ago
  A lot of these open source developers that made and improved this "truly free stack" are employed by meta and other big techs
  - alsjas 2y ago
    The stack was very usable in 2010. At that time, some gcc and kernel developers were employed by SuSE and RedHat. It was not common to be employed by a large corporation to work on open source. Projects like Python were completely usable then. But the corporations came, infiltrated existing projects and added often useless things. Python is not much better now than in 2010. So you have perhaps React and PyTorch. That is a tiny bit of the huge OSS stack. Does Meta pay for ncurses? for xterm? Of course not, it only supports flashy projects that are highly marketable and takes the rest for granted. So no, only a tiny fraction of the really important OSS devs are employed by FAANG.