From 435cbfed2100459de4c8296c739bf70d919604ae Mon Sep 17 00:00:00 2001
From: Alex O'Connell <git@alexoconnell.net>
Date: Sun, 21 Apr 2024 23:47:55 -0400
Subject: [PATCH] add llama 3 to list of supported models

---
 custom_components/llama_conversation/translations/en.json | 2 +-
 docs/Model Prompting.md                                   | 4 +++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/custom_components/llama_conversation/translations/en.json b/custom_components/llama_conversation/translations/en.json
index ef1c78d..e58074a 100644
--- a/custom_components/llama_conversation/translations/en.json
+++ b/custom_components/llama_conversation/translations/en.json
@@ -20,7 +20,7 @@
                     "downloaded_model_quantization": "Downloaded model quantization",
                     "huggingface_model": "HuggingFace Model"
                 },
-                "description": "Please select a model to use.\n\n**Models supported out of the box:**\n1. [Home LLM](https://huggingface.co/collections/acon96/home-llm-6618762669211da33bb22c5a): Home 3B & Home 1B\n2. Mistral: [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) or [Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)",
+                "description": "Please select a model to use.\n\n**Models supported out of the box:**\n1. [Home LLM](https://huggingface.co/collections/acon96/home-llm-6618762669211da33bb22c5a): Home 3B & Home 1B\n2. Mistral: [Mistral 7B](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) or [Mixtral 8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)\nLlama 3: [8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) and [70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)",
                 "title": "Select Model"
             },
             "remote_model": {
diff --git a/docs/Model Prompting.md b/docs/Model Prompting.md
index ee1d500..b084cef 100644
--- a/docs/Model Prompting.md	
+++ b/docs/Model Prompting.md	
@@ -59,7 +59,9 @@ Currently supported prompt formats are:
 2. Vicuna
 3. Alpaca
 4. Mistral
-5. None (useful for foundation models)
+5. Zephyr
+6. Llama 3
+7. None (useful for foundation models)
 
 ## Prompting other models with In Context Learning
 It is possible to use models that are not fine-tuned with the dataset via the usage of In Context Learning (ICL) examples. These examples condition the model to output the correct JSON schema without any fine-tuning of the model.