bloom-7b1-petals / README.md
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# BLOOM, a version for Petals
This model is a version of [bigscience/bloom-7b1](https://huggingface.co/bigscience/bloom-7b1)
post-processed to be run at home using the [Petals](https://github.com/bigscience-workshop/petals#readme) swarm.
**Note:** Petals is developed to run 100B+ models
like the [full-scale BLOOM](https://huggingface.co/bigscience/bloom-petals) or [BLOOMZ](https://huggingface.co/bigscience/bloomz-petals).
This model is provided for testing purposes only. It may be more efficient to run the original version of it locally.
Please check out:
- The [original model card](https://huggingface.co/bigscience/bloom-7b1)
to learn about the model's capabilities, specifications, and terms of use.
- The [Petals repository](https://github.com/bigscience-workshop/petals#readme)
to learn how to install Petals and run this model over the Petals swarm.
We provide minimal code examples below.
## Using the model
```python
from petals import DistributedBloomForCausalLM
model = DistributedBloomForCausalLM.from_pretrained("bigscience/bloom-7b1-petals")
# Embeddings & prompts are on your device, BLOOM blocks are distributed across the Internet
inputs = tokenizer("A cat sat", return_tensors="pt")["input_ids"]
outputs = model.generate(inputs, max_new_tokens=5)
print(tokenizer.decode(outputs[0])) # A cat sat on a mat...
```
## Serving the model blocks
```bash
python -m petals.cli.run_server bigscience/bloom-7b1-petals
```