Instructions to use aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1: direct link, hf CLI and curl.
- Browser
- Download file 604 Bytes
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https://huggingface.co/aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1/resolve/main/README.md
- Command line
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hf download hf://aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1/README.md
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curl -L -o README.md https://huggingface.co/aflah/mistral-7b-instruct-v0.3-bnb-4bit__Climate-Science-Epochs-1/resolve/main/README.md
604 Bytes
metadata
base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
Uploaded model
- Developed by: aflah
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.3-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
