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This model produces long, surprisingly coherent output that extends some input text; you can see an example [here](https://gist.github.com/pszemraj/b7c7ac65e56365cf5eab69622f16b356), which is a generated textbook about underwater city design.
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Thanks to the Jamba arch, it uses low VRAM while generating outputs: about 2.5 GB VRAM to generate 12,288 tokens.
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## Model description
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This model produces long, surprisingly coherent output that extends some input text; you can see an example [here](https://gist.github.com/pszemraj/b7c7ac65e56365cf5eab69622f16b356), which is a generated textbook about underwater city design.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/wWCnoAQ1NSoa3k4w3xvP9.png)
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Thanks to the Jamba arch, it uses low VRAM while generating outputs: about 2.5 GB VRAM to generate 12,288 tokens.
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## Model description
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