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Parent(s):
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Updating Model Card
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README.md
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Databricks is committed to ensuring that every organization and individual benefits from the transformative power of artificial intelligence. The Dolly model family represents our first steps along this journey, and we’re excited to share this technology with the world.
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-
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## Model Overview
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`dolly-v1-6b` is a 6 billion parameter causal language model created by [Databricks](https://databricks.com/) that is derived from
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maximize the potential of all individuals and organizations.
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## Intended Uses
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**`dolly-v1-6b` is intended exclusively for research purposes. We do not recommend using dolly-6b in high-risk applications
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(e.g., educational or vocational training, product safety components, or other uses that may impact the well-being of individuals.)**
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`dolly-v1-6b` is differentiated from its predecessor, GPT-J, in the extent to which it exhibits coherent responses to natural language
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PreTrainedTokenizer
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)
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForCausalLM.from_pretrained(
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pretrained_model_name_or_path, device_map="auto", trust_remote_code=True
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)
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```
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### Generate Text
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Databricks is committed to ensuring that every organization and individual benefits from the transformative power of artificial intelligence. The Dolly model family represents our first steps along this journey, and we’re excited to share this technology with the world.
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**Owner**: Databricks, Inc.
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## Model Overview
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`dolly-v1-6b` is a 6 billion parameter causal language model created by [Databricks](https://databricks.com/) that is derived from
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maximize the potential of all individuals and organizations.
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## Intended Uses
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**`dolly-v1-6b` is intended exclusively for research purposes. We do not recommend using `dolly-v1-6b` in high-risk applications
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(e.g., educational or vocational training, product safety components, or other uses that may impact the well-being of individuals.)**
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`dolly-v1-6b` is differentiated from its predecessor, GPT-J, in the extent to which it exhibits coherent responses to natural language
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PreTrainedTokenizer
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)
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tokenizer = AutoTokenizer.from_pretrained("databricks/dolly-v1-6b", padding_side="left")
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model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v1-6b", device_map="auto", trust_remote_code=True)
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```
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### Generate Text
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