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---
license: mit
datasets:
- databricks/databricks-dolly-15k
language:
- en
pipeline_tag: text-generation
tags:
- dolly
- dolly-v2
- instruct
- sharded
inference: False
---
# dolly-v2-7b: sharded checkpoint
This is a sharded checkpoint (with ~4GB shards) of the `databricks/dolly-v2-7b` model. Refer to the [original model](https://huggingface.co/databricks/dolly-v2-7b) for all details.
- this enables low-RAM loading, i.e. Colab :)
## Basic Usage
install `transformers`, `accelerate`, and `bitsandbytes`.
```bash
pip install -U -q transformers bitsandbytes accelerate
```
Load the model in 8bit, then [run inference](https://huggingface.co/docs/transformers/generation_strategies#contrastive-search):
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "ethzanalytics/dolly-v2-7b-sharded"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name, load_in_8bit=True, device_map="auto",
)
``` |