Update README.md

README.md

@@ -6,17 +6,40 @@ tags:
 - unsloth
 - llama
 - gguf
+- Roblox
+- Luau
 license: apache-2.0
 language:
 - en
 ---
 
-# Uploaded  model
+![BY_PINKSTACK.png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/2xMulpuSlZ3C1vpGgsAYi.png)
 
+# 🤖 Which quant is right for you? 
+
+- ***Q4:*** This model should be used on edge devices like phones or older laptops due to its compact size, quality is okay but fully usable. 
+- ***Q5:*** This model should be used on most medium range devices like a rtx 2070 super, good quality and fast responses. 
+- ***Q8:*** This model should be used on most modern devices Responses are very high quality, but its slower than q5. 
+- ***F16:*** This model should be used for testing and evaluating the model, server GPU needed to run it quickly. 
+
+## Things you should be aware of when using PGAM models (Pinkstack General Accuracy Models) 🤖
+
+This PGAM is based on Meta Llama 3.1 8B which we've given extra roblox LuaU training parameters so it would have similar outputs to the roblox ai documentation assistant, We trained using [this](mahiatlinux/luau_corpus-ShareGPT-for-EDM) dataset. Which is based on Roblox/luau_corpus 
+
+
+To use this model, you must use a service which supports the GGUF file format.
+Additionaly, this is the Prompt it uses the llama-3.1 template.
+
+Highly recommended to use with a system prompt. 
+
+# Extra information
 - **Developed by:** Pinkstack
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This model was trained using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+Used this model? Don't forget to leave a like :)
+
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)