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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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``` |
