Instructions to use kevin009/llama372-16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevin009/llama372-16bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevin009/llama372-16bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from kevin009/llama372-16bit: direct link, hf CLI and curl.
- Browser
- Download file 537 Bytes
-
https://huggingface.co/kevin009/llama372-16bit/resolve/main/README.md
- Command line
-
hf download hf://kevin009/llama372-16bit/README.md
-
curl -L -o README.md https://huggingface.co/kevin009/llama372-16bit/resolve/main/README.md
537 Bytes
metadata
base_model: llama369
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: kevin009
- License: apache-2.0
- Finetuned from model : llama369
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
