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--- |
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license: mit |
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library_name: open-oasis |
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datasets: |
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- microsoft/orca-agentinstruct-1M-v1 |
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language: |
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- am |
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metrics: |
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- bertscore |
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base_model: |
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- genmo/mochi-1-preview |
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new_version: Etched/oasis-500m |
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pipeline_tag: text-generation |
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--- |
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# Oasis 500M |
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 |
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Oasis is an interactive world model developed by [Decart](https://www.decart.ai/) and [Etched](https://www.etched.com/). Based on diffusion transformers, Oasis takes in user keyboard input and generates gameplay in an autoregressive manner. Here we release the weights for Oasis 500M, a downscaled version of the model, along with inference code for action-conditional frame generation. |
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For more details, see our [joint blog post](https://oasis-model.github.io/) to learn more. |
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## Run local inference |
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To generate action-conditional video using the 500M model, please see the instructions on our [inference repo](https://github.com/etched-ai/open-oasis/tree/master)! |
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And to use the most powerful version of the model, be sure to check out the [live demo](https://oasis.us.decart.ai/)! |