---
license: mit
---

# ethzanalytics/dolly-v2-7b-sharded-8bit

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).

- total model size is only ~12.5 GB!
- this enables low-RAM loading, i.e. Colab :)

## Basic Usage


install/upgrade `transformers`, `accelerate`, and `bitsandbytes`. For this to work **you must have** `transformers>=4.28.0` and `bitsandbytes>0.37.2`.

```bash
pip install -U -q transformers bitsandbytes accelerate
```

Load the model. As it is serialized in 8bit you don't need to do anything special:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "ethzanalytics/dolly-v2-7b-sharded-8bit"
tokenizer = AutoTokenizer.from_pretrained(model_name)

model = AutoModelForCausalLM.from_pretrained(model_name)
```