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+ # BLOOMZ, a version for Petals
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+
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+ This model is a version of [bigscience/bloomz](https://huggingface.co/bigscience/bloomz)
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+ post-processed to be run at home using the [Petals](https://github.com/bigscience-workshop/petals#readme) swarm.
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+
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+ Please check out:
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+
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+ - The [original model card](https://huggingface.co/bigscience/bloomz)
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+ to learn about the model's capabilities, specifications, and terms of use.
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+ - The [Petals repository](https://github.com/bigscience-workshop/petals#readme)
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+ to learn how to install Petals and run this model over the Petals swarm.
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+
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+ We provide minimal code examples below.
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+
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+ ## Using the model
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+
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+ ```python
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+ from petals import DistributedBloomForCausalLM
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+
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+ model = DistributedBloomForCausalLM.from_pretrained("bigscience/bloomz-petals")
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+ # Embeddings & prompts are on your device, BLOOM blocks are distributed across the Internet
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+
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+ inputs = tokenizer("A cat sat", return_tensors="pt")["input_ids"]
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+ outputs = model.generate(inputs, max_new_tokens=5)
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+ print(tokenizer.decode(outputs[0])) # A cat sat on a mat...
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+ ```
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+
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+ ## Serving the model blocks
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+
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+ ```bash
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+ python -m petals.cli.run_server bigscience/bloomz-petals
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+ ```