Update README.md

README.md

@@ -22,6 +22,10 @@ datasets:
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/Qwen2.5-7B-bnb-4bit and unsloth/Llama-3.2-3B-Instruct
 
+# THIS IS A DEPRECATED REPOSITORY, DO NOT USE MODELS FROM THIS REPO, INSTEAD, [FIND THE NEWER AND MUCH BETTER MODELS HERE](https://huggingface.co/Sweaterdog/Andy-3.5)
+## AGAIN, THIS REPO IS ONLY FOR TESTING OLD MODELS
+
+
 The MindCraft LLM tuning CSV file can be found here, this can be tweaked as needed. [MindCraft-LLM](https://huggingface.co/datasets/Sweaterdog/MindCraft-LLM-tuning)
 
 # What is the Purpose?
@@ -69,8 +73,9 @@ In order to use this model, A, download the GGUF file of the version you want, e
 
 9. (Optional, needed for versions after the 11/15/24 update) If you downloaded a model that was tuned from Qwen, and in the model name you kept Qwen, you need to go into the file "prompter.js" and remove the qwen section, if you named it something that doesn't include qwen in the name, you can skip this step.
 
-# How to fine tune a Gemini Model
-1. Download the CSV for [MindCraft-LLM-tuning](https://huggingface.co/datasets/Sweaterdog/MindCraft-LLM-tuning)
+# How to fine tune a Gemini Model 
+### *--This is no longer supported in newer dataset versions*
+1. Download the CSV for [MindCraft-LLM-tuning](https://huggingface.co/datasets/Sweaterdog/MindCraft-LLM-tuning) *--Deprecated dataset*
 2. Open sheet.google.com, and upload the CSV file
 3. Go to [API keys and Services](https://aistudio.google.com/app/apikey), then click on "New Tuned Model" on the left popup bar
 4. Press "Import" and then select the CSV file you uploaded to google sheets
@@ -93,9 +98,6 @@ echo Restarting...
 goto loop
 ```
 12. Enjoy having a model play Minecraft with you, hopefully it is smarter than regular Gemini models!
-#
-
-**WARNING** The new v3 generation of models suck! That is because they were also trained for building *(coding)* and often do not use commands! I recommend using the v2 generation still, the LLaMa version is in the [deprecated models folder](https://huggingface.co/Sweaterdog/MindCraft-LLM-tuning/tree/main/deprecated-models).
 
 # 
 
@@ -103,14 +105,7 @@ For Anybody who is wondering what the context length is, the Qwen version, has a
 
 # 
 
-I wanted to include the google colab link, in case you wanted to know how to train models via CSV, or use my dataset to train your own model, on your own settings, on a different model. [Google Colab](https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS#scrollTo=2eSvM9zX_2d3)
-
 # 
 
 **UPDATE** The Qwen and Llama models are out, with the expanded dataset! I have found the llama models are incredibly dumb, but changing the Modelfile may provide better results, With the Qwen version of Andy, the Q4_K_M, it took 2 minutes to craft a wooden pickaxe, collected stone after that, took 5 minutes.
-
-# 
-
-This qwen2 and llama3.2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+**UPDATE** DO NOT USE THE MODELS FROM THIS REPO, IT TOOK ~3:00.00 TO GET A STONE PICKAXE, MUCH FASTER THAN ANDY-V2-QWEN