README.md

metadata

title: README
emoji: 🏢
colorFrom: blue
colorTo: green
sdk: static
pinned: true
tags:
  - llama
  - code-llama
  - mistral
  - deepseek
  - jupyter
  - colab
  - function calling
  - QLoRa
  - fine-tuning
  - scripts
  - fine-tuning

last updated Nov 7th 2023

About

Trelis Research provides tools and tutorials for training, using and deploying large language models.

ADVANCED Fine-tuning Scripts

Learn more here

1. Unsupervised + Supervised Fine-tuning Notebooks
2. Q&A Dataset Preparation + Cleaning Scripts
3. Scripts to create and use Embeddings
4. Quantization Scripts

Function-calling Models and Datasets

• Llama 2 and Mistral models fine-tuned for function calling, 7B, 13B, 70B, CodeLlama 34B
• Dataset to fine-tune models for function calling

LLM Server Setup

• Server and inference setup for Llama, CodeLlama and DeepSeek models.
• Inference for function calling.
• Video: Run Llama 2 on AWS
• Video: Deploy a Llama API in 5 clicks
• Purchase access to the GitHub repo

One-click LLM API/Server Templates

• Runpod affiliate link
• Llama 2 70B

Summarise-Me.com

• Summarise PDFs and websites up to 60,000 words

Other Top Tutorials

• Run Code Llama on a Mac with an M1 Chip
• Run Llama 2 with 32k Context Length