Metadata-Version: 2.3
Name: transformer-tricks
Version: 0.1.1
Summary: A collection of tricks to speed up LLMs, see our transformer-tricks papers on arXiv
Project-URL: Homepage, https://github.com/OpenMachine-ai/transformer-tricks
Project-URL: Bug Tracker, https://github.com/OpenMachine-ai/transformer-tricks/issues
Author-email: Open Machine <info@openmachine.ai>
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Requires-Dist: datasets>=2.19.2
Requires-Dist: torch>=2.4.1
Requires-Dist: tqdm>=4.64.1
Requires-Dist: transformers>=4.41.2
Description-Content-Type: text/markdown

### Setup

```
pip3 install --quiet -r requirements.txt
```

To run llama and other LLMs that need an agreement (not SmolLM), you first have to type the following:
```
huggingface-cli login
```
Above will ask you for the hf_token, which is the same you use e.g. in colab
