nov 7 update

README.md

@@ -5,9 +5,9 @@ colorFrom: red
 colorTo: green
 sdk: static
 pinned: false
-tags: [llama, code-llama, jupyter, colab, function calling, QLoRa, fine-tuning, scripts, fine-tuning]
+tags: [llama, code-llama, mistral, deepseek, jupyter, colab, function calling, QLoRa, fine-tuning, scripts, fine-tuning]
 ---
-*last updated Oct 16th 2023*
+*last updated Nov 7th 2023*
 ## About
 Trelis Research provides tools and tutorials for training, using and deploying large language models.
 
@@ -24,7 +24,9 @@ Trelis Research provides tools and tutorials for training, using and deploying l
 - [Llama 2 and Mistral 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 and Inference Guide
+## LLM Server Setup
+- Server and inference setup for Llama, CodeLlama and DeepSeek models.
+- Inference for function calling.
 - [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)
@@ -39,3 +41,4 @@ Trelis Research provides tools and tutorials for training, using and deploying l
 ## 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)
+