Spaces:
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Apply for community grant: Academic project
Hi there,
We are a pair of PhD students currently studying at Imperial College London.
We are lucky enough to have access to a cluster of A100 GPUs here at Imperial, so we have trained a couple of LLM models (Llama-based) using large instruction-based datasets with a focus on intellectual property. We would love to make this model available for people to try out so that we can learn more about how people interact with these types of models, however, these models require at least 16GB of RAM, which by your pricing, would add up quite quickly, making a demo of more than a couple of days inaccessible for us.
We anticipate that the model will garner a lot of traffic, which could mean people are encouraged to use other spaces and models on HF! We are also looking to integrate this space into IBM's GT4SD space in the next week.
Please let us know if you would like any more information.
Kind regards,
Egheosa Ogbomo
Hello
@EmicoBinsfinder
, we wanted to let you know that we've assigned a GPU to your space, and your GPU grant application has been approved. Congratulations! Please keep in mind that GPU grants are provided on a temporary basis and may be removed if usage is very low.
To learn more about GPUs in Spaces, please check out https://huggingface.co/docs/hub/spaces-gpus. We look forward to seeing the innovative work you produce with this grant. If you have any questions or concerns, please let us know. Thank you for your interest in our platform!
Hi, thank you so much, would we be able to run using the grant on the a10g small?
Also, if we were to transfer this space to the GT4SD space, would the grant still apply?