LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

founded 1 year ago

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We are Higgsfield AI. We have a large GPU cluster and want to finetune your dataset. (alien.top)

submitted 1 year ago by RiskApprehensive9770@alien.top to c/localllama@poweruser.forum

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Hey LocalLLaMA. It's Higgsfield AI, and we train huge foundational models.

We have a massive GPU cluster and developed our own infrastructure to manage the cluster and train massive models. We constantly lurked in this subreddit and learned a lot from this passionate community. Right now, we have spare GPUs, and we are excited to give back to this incredible community.

We built a simple web app where you can upload your datasets to finetune it. https://higgsfield.ai/

There's how it works:

You upload the dataset with preconfigured format into HuggingFaсe [1].
Choose your LLM (e.g. LLaMa 70B, Mistral 7B)
Place your submission into the queue
Wait for it to get trained.
Then you get your trained model there on HuggingFace.

[1]: https://github.com/higgsfield-ai/higgsfield/tree/main/tutorials

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[–] dahara111@alien.top 1 points 1 year ago

Registered. I am very interested and grateful to use it, but I haven't uploaded the dataset to huggingface, so I can't use it yet.

And I don't understand the new learning paradigm that is done just by registering the model and dataset.

What is it that is running behind the scenes?
A very simple snippet OR code would be helpful to understand.

For example

If I give you a model and a dataset, the code will run something like this, and under what conditions will the training be finished.