add function calling Llama

README.md

@@ -8,32 +8,35 @@ pinned: false
 tags: [llama, jupyter, colab, function calling, QLoRa, fine-tuning, scripts, fine-tuning]
 ---
 
-# *QLoRa Fine-Tuning Scripts/Notebooks for Small Datasets*
+# 1. QLoRa Fine-Tuning Scripts/Notebooks
 
-## QLoRa Training Notebook for Llama 2 (FREE)
+**Basic Training Notebook**
 - Access the Google Colab script [here](https://colab.research.google.com/drive/1uMSS1o_8YOPyG1X_4k6ENEE3kJfBGGhH?usp=sharing).
 
 - View the [Youtube Video Here](https://youtu.be/OQdp-OeG1as)
 
-## QLoRa ADVANCED Training Notebook (PAID)
+**ADVANCED Training Notebook (PAID)**
 This advanced script provides improved performance when training with small datasets:
 - Includes a prompt loss-mask for improved performance when structured responses are required.
 - Includes a stop token after responses - allowing the model to provide a short reponse (e.g. a function call) and then stop.
 - Request [access here](https://buy.stripe.com/5kA5l69K52Hxf3a006). €14.99 (or $16.49) per seat/user. Access will be provided within 24 hours of purchase.
 
-# Function Calling Dataset
+# 2. Function Calling Dataset
 - Commercial dataset allowing language models to be fine-tuned for function calling ([Get access here](https://huggingface.co/datasets/Trelis/function_calling_extended)).
 - Created using only human input or Apache 2 licensed datasets (no third party commercial licensing limitations)
 - Models trained with this dataset:
 - - [Llama-2-7B](https://huggingface.co/Trelis/Llama-2-7b-chat-hf-function-calling) - repo includes Google Colab notebook for inference
 - - [Llama-2-13B](https://huggingface.co/Trelis/Llama-2-13b-chat-hf-function-calling) - repo includes Google Colab notebook for inference
 
-# Jupyter Llama
-A Chat Assistant in Jupyter Notebook - Built on Llama 2.
+# 3. Jupyter fLlama
+A Llama 2 chatbot with function calling
+
+**Basic Chatbot with function calling**
+- Search Bing.
 - Upload pdf or text files for analysis.
-- No data goes to OpenAI.
-- No data is used for training language models.
+- Get access [here](https://colab.research.google.com/drive/1u8x41Jx8WWtI-nzHOgqTxkS3Q_lcjaSX?usp=sharing).
 
-Try it:
-- [Google Colab](https://colab.research.google.com/drive/1iRNIVACiRGjvCrCn4ClAAW9-KoHj9W2z?usp=sharing).
-- [Github](https://github.com/TrelisResearch/jupyter-llama/).
+**Jupyter fLlama Pro**
+- Add and call any custom function.
+- Search for papers on ArXiv.
+- Get access [here](https://buy.stripe.com/4gw4h27BX81R9IQaEL). €9.99 (or $10.99) per seat/user. Access will be provided within 24 hours of purchase.