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---
title: README
emoji: 🏢
colorFrom: red
colorTo: green
sdk: static
pinned: false
tags: [llama, code-llama, jupyter, colab, function calling, QLoRa, fine-tuning, scripts, fine-tuning]
---
*last updated Sept 24th 2023*
## About
Trelis Research provides tools and tutorials for training, using and deploying large language models.
## Function-calling Models and Datasets
- [Llama 2 models fine-tuned for function calling, 7B, 13B, 70B, CodeLlama 34B](https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling-v2)
- [Dataset to fine-tune models for function calling](https://huggingface.co/datasets/Trelis/function_calling_extended)
## LLM Server Setup
- [Video: Run Llama 2 on AWS](https://youtu.be/Ror2xOOA-VE)
- [Video: Deploy a Llama API in 5 clicks](https://youtu.be/dJ69gY0qRbg)
- [Purchase access to the GitHub repo](https://buy.stripe.com/9AQ28UcWh4PF1ckeV9)
## Fine-tuning Scripts
Fine-tune LLMs for style, content or structured responses
- [View the three part YouTube series on embeddings, supervised and unsupervised fine-tuning](https://youtu.be/egnf8L-EUJU)
- [Purchase access to the GitHub repo](https://buy.stripe.com/cN27tef4p2Hx2go4gD)
## Summarise-Me.com
- [Summarise PDFs and websites up to 60,000 words](https://Summarise-Me.com)
## Other Top Tutorials
- [Run Code Llama on a Mac with an M1 Chip](https://www.youtube.com/watch?v=a1JlzUzHL-I)
- [Run Llama 2 with 32k Context Length](https://www.youtube.com/watch?v=ELax81LjFhU)
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