Llama 3.3 is FREE on Groq Cloud!
45sReveals that the latest Llama 3.3 model is available for free via Groq Cloud, which is surprising and valuable for AI enthusiasts.
βΆ Play ClipThis video demonstrates how to access and use Meta's Llama models, specifically Llama 3.3, through Groq Cloud's API. The presenter shows how to set up a free account, obtain an API key, and run a Python script to interact with the model.
Llama is an open-source model by Meta that provides weights for download or cloud access.
The current version used is 3.1, but Meta has released 3.2 and 3.3.
Groq Cloud offers free access to Llama models via API, with fast response times due to their LPUs.
Sign up at console.groq.com to get a free API key for accessing Llama models.
Use the provided Python code with environment variables for the API key, and specify the model (e.g., Llama 3 8B).
Activate a virtual environment and run the Python script to see fast responses from Groq.
Groq Cloud provides a fast and free way to access Llama models, making it easy to build applications with large language models.
[00:01] hello guys U welcome to another episode
[00:04] of AML talks so today we will be talking
[00:06] about uh Lama models so llama is a like
[00:10] know open source model by Facebook or
[00:12] you can say Meta Meta so llama like know
[00:16] provides the weights and everything so
[00:18] you can either download the models if
[00:20] you have enough resources uh if you
[00:22] don't have resources and if you want to
[00:24] try llama you can go to meta you can
[00:27] click here so it will redirect you to
[00:29] meta
[00:30] and you can try it out so these llama
[00:33] versions they that they are using
[00:35] currently 3.1 so let's just ask it out
[00:38] which llama
[00:41] version are you currently
[00:49] using see it's currently using 3.1 but
[00:54] meta has released like 3.3 also so that
[00:57] you can use directly like you know so
[01:00] llama you can see llama has used uh
[01:02] released 3.2 and 3.3 also so to use that
[01:06] you can use cloud service called like
[01:09] you know grock Cloud uh so let's go to
[01:12] grock cloud and then we'll
[01:16] see so here you can like you know uh you
[01:19] can also test it out here whatever
[01:21] versions you wish to test it out so
[01:23] there are like Lama 3.1 3.2 so 3.3 is
[01:27] also there but I think that is there
[01:29] through the API part okay so uh what you
[01:32] can do is like you can go to API Keys
[01:35] like know go to like console. gro.com
[01:38] and create an account there uh it's a
[01:40] free thing right now and you can go and
[01:43] create an API out there and that API
[01:46] will give you access uh to llama new
[01:49] latest versions so Lama 3.3 is also
[01:52] available out there so after creating an
[01:54] API key you need to go to the
[01:56] documentation so in the documentation
[01:58] part uh like you know you can see how
[02:01] you can start working with like know Gro
[02:03] API uh so there are like API differences
[02:05] available out there so you can click on
[02:07] API references or you can if you want to
[02:09] just quick start here so you can go here
[02:12] and from there select the python part
[02:14] and copy it out okay and then you can
[02:17] use it in your uh system so like you can
[02:20] use it in collab or any any place you
[02:22] wish to do or any ID that you have so I
[02:25] am currently using vs code so I will
[02:27] show in the vs code part so uh I've just
[02:31] copied it out here and pasted it the
[02:33] whole thing is pasted already so uh I've
[02:36] added two extra things that were not
[02:38] there import OS and import from EnV
[02:41] import do uh load. EnV because these two
[02:45] things are uh required to get this um
[02:48] like know key that Gro API key so that
[02:51] API key you need to have it in EnV file
[02:53] from where you can uh call it out okay
[02:56] and then it's just same like you know
[02:58] everything else so here you need to
[03:00] mention the model which model you are
[03:02] using So currently this is a sample of
[03:05] Lama 3 8 billion so you can if you wish
[03:08] to use like any other thing uh like know
[03:11] you can just uh check the model cards
[03:13] out there and use it you can use mral or
[03:16] anything so that's not an issue okay so
[03:19] let's see like you
[03:21] know uh how it works so what we will do
[03:24] we will uh start with our virtual
[03:27] environment to my virtual environment is
[03:29] Gro EnV SL
[03:33] bin SL
[03:36] activate Okay now we need to just run it
[03:41] python
[03:43] gr Lama sorry Gro Lama
[03:49] dop yeah so see how fast it is so Gro
[03:53] Gro has like you know uh uh one of the
[03:56] best lpus so they are having like a
[03:58] language processing unit
[04:00] out there and uh they have the fastest
[04:03] response time uh of any of the cloud
[04:05] that is available as of now uh so you
[04:08] can see the how they have answered so
[04:10] fast language models have become like an
[04:12] increasing important today's landscape
[04:14] to do their ability to quickly process
[04:15] and generate large amount of natural
[04:17] data so this is how it is okay so uh
[04:21] like you know I hope you'll start
[04:22] building something out of it and you can
[04:25] go to gro.com sign up and get the key
[04:28] and start using any of the LM that you
[04:30] wish to use it there are multimetal
[04:33] versions also that also you can use okay
[04:36] I hope you have liked uh like my video
[04:38] so do like share and subscribe thank you
[04:41] everyone
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