Instructions to use R0bfried/RAG12000-phi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use R0bfried/RAG12000-phi4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("R0bfried/RAG12000-phi4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from R0bfried/RAG12000-phi4: direct link, hf CLI and curl.
- Browser
- Download file 678 Bytes
-
https://huggingface.co/R0bfried/RAG12000-phi4/resolve/main/README.md
- Command line
-
hf download hf://R0bfried/RAG12000-phi4/README.md
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curl -L -o README.md https://huggingface.co/R0bfried/RAG12000-phi4/resolve/main/README.md
678 Bytes
metadata
base_model: unsloth/phi-4-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
datasets:
- neural-bridge/rag-dataset-12000
Uploaded model
- Developed by: R0bfried
- License: apache-2.0
- Finetuned from model : unsloth/phi-4-unsloth-bnb-4bit
This model was fine tuned on the RAG dataset 12.000.
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
