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Quantization made by Richard Erkhov.
bloom-1b4-zh - bnb 4bits
- Model creator: https://huggingface.co/Langboat/
- Original model: https://huggingface.co/Langboat/bloom-1b4-zh/
Original model description:
license: bigscience-bloom-rail-1.0 language:
- zh pipeline_tag: text-generation widget:
- text: "涓浗鐨勯閮芥槸"
This model is based on bigscience/bloom-1b7.
We pruned its vocabulary from 250880 to 46145 with Chinese corpus to reduce GPU memory usage. So the total parameter is 1.4b now.
How to use
from transformers import BloomTokenizerFast, BloomForCausalLM
tokenizer = BloomTokenizerFast.from_pretrained('Langboat/bloom-1b4-zh')
model = BloomForCausalLM.from_pretrained('Langboat/bloom-1b4-zh')
print(tokenizer.batch_decode(model.generate(tokenizer.encode('涓浗鐨勯閮芥槸', return_tensors='pt'))))
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