Instructions to use PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora: direct link, hf CLI and curl.
- Browser
- Download file 608 Bytes
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https://huggingface.co/PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora/resolve/main/README.md
- Command line
-
hf download hf://PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora/README.md
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curl -L -o README.md https://huggingface.co/PurpleAILAB/SQLi_Reasoning-Llama3.2-3B-v0.1-lora/resolve/main/README.md
608 Bytes
metadata
base_model: chuanli11/Llama-3.2-3B-Instruct-uncensored
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
Uploaded model
- Developed by: PurpleAILAB
- License: apache-2.0
- Finetuned from model : chuanli11/Llama-3.2-3B-Instruct-uncensored
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
