Update README.md

README.md

@@ -16,7 +16,7 @@ datasets:
 - Sweaterdog/MindCraft-LLM-tuning
 ---
 
-# Uploaded  model
+# Uploaded  models
 
 - **Developed by:** Sweaterdog
 - **License:** apache-2.0
@@ -32,7 +32,7 @@ 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?
   # 
-   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.
+   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?
   # 
   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.
@@ -47,6 +47,7 @@ This model is built and designed to play Minecraft via the extension named "[Min
 - Will there ever be vision fine tuning?
   #
   Yes! In MindCraft there will be vision support for VLM's *(vision language models)*, Most likely, the model will be Qwen2-VL-7b, or LLaMa3.2-11b-vision since they are relatively new, yes, I am still holding out hope for llama3.2
+  
 # How to Use
 In order to use this model, A, download the GGUF file of the version you want, either a Qwen, or Llama model, and then the Modelfile, after you download both, in the Modelfile, change the directory of the model, to your model. Here is a simple guide if needed for the rest:
 # 
@@ -94,11 +95,11 @@ 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, it is in the [deprecated models folder](https://huggingface.co/Sweaterdog/MindCraft-LLM-tuning/tree/main/deprecated-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).
 
 # 
 
-For Anybody who is wondering what the context length is, for the Hermesv1, they have a context window of 8196 tokens. For the Qwen version, it will have a length of 64000 tokens, for the Llama version, it will have 128000 tokens.
+For Anybody who is wondering what the context length is, the Qwen version, has a length of 64000 tokens, for the Llama version, it has a 128000 token context window. *(***NOTE***Any model can support a longer context, but these are the supported values in training)*
 
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