Update README.md

README.md

@@ -34,7 +34,7 @@ This model is built and designed to play Minecraft via the extension named "[Min
   While, yes, models that aren't fine tuned to play Minecraft *Can* play Minecraft, most are slow, innaccurate, and not as smart, in the fine tuning, it expands reasoning, conversation examples, and command (tool) usage.
 - What kind of Dataset was used?
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-   I'm deeming this model *"Hermes"*, it was trained for reasoning by using examples of in-game "Vision" as well as examples of spacial reasoning, for expanding thinking, I also added puzzle examples where the model broke down the process step by step to reach the goal.
+   I'm deeming the first generation of this model, Hermesv1, for future generations, they will be named *"Andy"* based from the actual MindCraft plugin's default character. it was trained for reasoning by using examples of in-game "Vision" as well as examples of spacial reasoning, for expanding thinking, I also added puzzle examples where the model broke down the process step by step to reach the goal.
 - Why choose Qwen2.5 for the base model?
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   During testing, to find the best local LLM for playing Minecraft, I came across two, Gemma 2, and Qwen2.5, these two were by far the best at playing Minecraft before fine-tuning, and I knew, once tuned, it would become better.