Instructions to use vsrinivas/TinyLLAMA_VS_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vsrinivas/TinyLLAMA_VS_test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vsrinivas/TinyLLAMA_VS_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from vsrinivas/TinyLLAMA_VS_test: direct link, hf CLI and curl.
- Browser
- Download file 574 Bytes
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https://huggingface.co/vsrinivas/TinyLLAMA_VS_test/resolve/495658abc6efd242cd5eecaa1cdc55262d94bd0e/README.md
- Command line
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hf download hf://vsrinivas/TinyLLAMA_VS_test@495658abc6efd242cd5eecaa1cdc55262d94bd0e/README.md
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curl -L -o README.md https://huggingface.co/vsrinivas/TinyLLAMA_VS_test/resolve/495658abc6efd242cd5eecaa1cdc55262d94bd0e/README.md
574 Bytes
metadata
base_model: unsloth/tinyllama-bnb-4bit
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
Uploaded model
- Developed by: vsrinivas
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
