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license: mit
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license: mit
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# ethzanalytics/dolly-v2-7b-sharded-8bit
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For more info on loading 8bit models, refer to the [example repo](https://huggingface.co/ybelkada/bloom-1b7-8bit) and/or the `4.28.0` [release info](https://github.com/huggingface/transformers/releases/tag/v4.28.0).
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- total model size is only ~12.5 GB!
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- this enables low-RAM loading, i.e. Colab :)
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## Basic Usage
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install/upgrade `transformers`, `accelerate`, and `bitsandbytes`. For this to work **you must have** `transformers>=4.28.0` and `bitsandbytes>0.37.2`.
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```bash
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pip install -U -q transformers bitsandbytes accelerate
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```
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Load the model. As it is serialized in 8bit you don't need to do anything special:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_name = "ethzanalytics/dolly-v2-7b-sharded-8bit"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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```
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