Instructions to use dfurman/Llama-2-70B-Instruct-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dfurman/Llama-2-70B-Instruct-v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "dfurman/Llama-2-70B-Instruct-v0.1") - Notebooks
- Google Colab
- Kaggle
Commit ·
2b514d3
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Parent(s): 1e83fbf
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (d3a4030a2712e86b2c911ed2892f7e3c2c99bee7)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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library_name: peft
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license: llama2
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- ehartford/dolphin
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tags:
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- llama-2
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inference: false
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pipeline_tag: text-generation
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---
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# llama-2-70b-dolphin 🦙🐬
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license: llama2
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library_name: peft
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tags:
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- llama-2
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datasets:
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- ehartford/dolphin
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inference: false
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pipeline_tag: text-generation
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base_model: meta-llama/Llama-2-70b-hf
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---
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# llama-2-70b-dolphin 🦙🐬
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