Instructions to use SeongonAI/mistral-24b-content-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeongonAI/mistral-24b-content-0.1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SeongonAI/mistral-24b-content-0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from SeongonAI/mistral-24b-content-0.1: direct link, hf CLI and curl.
- Browser
- Download file 614 Bytes
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https://huggingface.co/SeongonAI/mistral-24b-content-0.1/resolve/b8007126669d7b9cfe1e5e408c5f1ab187b6cbd5/README.md
- Command line
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hf download hf://SeongonAI/mistral-24b-content-0.1@b8007126669d7b9cfe1e5e408c5f1ab187b6cbd5/README.md
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curl -L -o README.md https://huggingface.co/SeongonAI/mistral-24b-content-0.1/resolve/b8007126669d7b9cfe1e5e408c5f1ab187b6cbd5/README.md
614 Bytes
metadata
base_model: unsloth/Mistral-Small-3.2-24B-Instruct-2506
tags:
- text-generation-inference
- transformers
- unsloth
- mistral3
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: SeongonAI
- License: apache-2.0
- Finetuned from model : unsloth/Mistral-Small-3.2-24B-Instruct-2506
This mistral3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
