Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- databricks/databricks-dolly-15k
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- timdettmers/openassistant-guanaco
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---
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---
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Model that is fine-tuned in 4-bit precision using QLoRA on [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) and [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k). Sharded as well to be used on a free Google Colab instance.
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It can be easily imported using the `AutoModelForCausalLM` class from `transformers`:
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```
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"guardrail/llama-2-7b-guanaco-dolly-8bit-sharded",
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load_in_8bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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```
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