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@@ -17,7 +17,7 @@ tags:
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  ## Andy 3.5 is a collection of LOCAL LLM's designed for playing Minecraft
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  *Andy 3.5 is designed to be used with MindCraft, and is not designed nor intended to be used for any other applications*
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- ### How to Install
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  1. Select the model you would like to use *(Larger is better)*
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  2. Download the Modelfile
@@ -30,34 +30,27 @@ tags:
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  9. Enjoy playing with an AI
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- ## How was model trained?
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  The model was trained on a dataset of ~9,000 messages coming directly from MindCraft, ensuring quality data, not the newer version with ~12,000 prompts
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- ## What are capabilities and Limitations?
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- The smaller model *(The preview ones at least)* had 1/3 of the parameters tuned, the larger preview model has not been released yet.
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  Andy-3.5 was trained on EVERYTHING regarding Minecraft and MindCraft, it knows how to use commands natively without a system prompt.
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  Andy-3.5 also knows how to build / use !newAction to perform commands, it was trained on lots of building, as well as, using !newAction to do tasks like manually making something or strip mining.
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- ****Know this is a PREVIEW model, it is NOT finished!****
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-
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- ## Why a preview model?
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-
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- Andy-3.5-preview was made to test the intelligence of a Minecraft Ai with the current dataset, it was meant to see the progress of the training and what area's are needed for the future
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- DO NOT expect this model to be able to do everything perfectly, it only knows as much as the dataset told it, as well as the other 2/3 of the untouched parameters allow.
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- The model *may* experience bugs, such as not saying your name, getting previous messages confused, or other small things.
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-
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  # What models can I choose?
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- There are going to be 2 *(maybe 3)* model sizes avaliable, Regular, Mini *(And Maybe large)*
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  * Regular is a 7B parameter model, tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
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  * Mini is a 1.5B parameter model, also tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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  * Large *(Might)* be a 32b parameter model, again tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) *- This model may not exist,* ***ever***
57
 
 
 
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  Out of all of the models, Teensy had the largest percent of parameters tuned, being 1/2 the models total size
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- ## Safety and FAQ
61
 
62
  Q: Is this model safe to use?
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  A. Yes, this model is non-volatile, and cannot generate malicous content
@@ -71,7 +64,7 @@ A. You are responsible, even though the model was never trained to be able to ma
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  Q. If I make media based on this model, like photos / videos, do I have to mention the Creator?
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  A. No, if you are making a post about MindCraft, and using this model, you only have to mention the creator if you mention the model being used.
73
 
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- ## Important notes and considerations
75
 
76
  The preview model of Andy-3.5, is Andy-3.5-teensy, a small model and tune with only 360 million parameters, it ***"understand Minecraft"***.
77
  I would not recommend Andy-3.5-teensy, I felt like making a joke, and a joke was made, *(The Andy-3.5-teensy model was a big hope, but it sucks, try out the q2_k model!)*
@@ -79,12 +72,25 @@ I would not recommend Andy-3.5-teensy, I felt like making a joke, and a joke was
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  When the full versions of Andy-3.5 and Andy-3.5-mini *(And possibly Andy-3.5-large)* release, they will both be trained on a context length of 32,000 to ensure proper usage during playing.
81
 
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- ## Performance Metrics
 
 
 
 
 
 
 
 
 
 
 
 
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  These benchmarks are a-typical, since most standard benchmarks don't apply to Minecraft
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- The benchmarks below include models via API that are cheap, and other fine-tuned local models *(Excluding Andy-v2 and Andy-v3, since they are bad)*
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- ### Zero info Prompting
 
 
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  *How fast can a model collect 16 oak logs, and convert them all into sticks*
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/86Seb1yxsB92LfSOhg5Jy.png)
@@ -94,7 +100,7 @@ Currently, Andy-3.5 and Andy-3.5-mini are the **ONLY** models that can play with
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  Test this for yourself using [this profile](https://huggingface.co/Sweaterdog/Andy-3.5/blob/main/local_demo.json)
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- ### Time to get a stone pickaxe
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/uDiKIYuAAamt0Y7b58nr0.png)
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@@ -105,7 +111,7 @@ I am sure other models like Deepseek-R1 may be faster at getting a stone pickaxe
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  *For Andy-3.5-Teensy, I used the FP16 quantization*
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  *For Mineslayerv1 and Mineslayerv2, I used the default (and only) quantization, Q4_K_M*
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- ### Notes about the benchmarks
109
 
110
  **Zero Info Prompting**
111
 
 
17
  ## Andy 3.5 is a collection of LOCAL LLM's designed for playing Minecraft
18
  *Andy 3.5 is designed to be used with MindCraft, and is not designed nor intended to be used for any other applications*
19
 
20
+ # How to Install
21
 
22
  1. Select the model you would like to use *(Larger is better)*
23
  2. Download the Modelfile
 
30
  9. Enjoy playing with an AI
31
 
32
 
33
+ # How was model trained?
34
 
35
  The model was trained on a dataset of ~9,000 messages coming directly from MindCraft, ensuring quality data, not the newer version with ~12,000 prompts
36
 
37
+ # What are capabilities and Limitations?
38
 
 
39
  Andy-3.5 was trained on EVERYTHING regarding Minecraft and MindCraft, it knows how to use commands natively without a system prompt.
40
  Andy-3.5 also knows how to build / use !newAction to perform commands, it was trained on lots of building, as well as, using !newAction to do tasks like manually making something or strip mining.
41
 
 
 
 
 
 
 
 
 
42
  # What models can I choose?
43
 
44
+ There are going to be 2 *(maybe 3)* model sizes avaliable, Regular, Mini *(And possibly large)*
45
  * Regular is a 7B parameter model, tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
46
  * Mini is a 1.5B parameter model, also tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
47
  * Large *(Might)* be a 32b parameter model, again tuned from [Deepseek-R1 Distilled](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) *- This model may not exist,* ***ever***
48
 
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+ Each model will eventually have their **"reasoning"** version released
50
+
51
  Out of all of the models, Teensy had the largest percent of parameters tuned, being 1/2 the models total size
52
 
53
+ # Safety and FAQ
54
 
55
  Q: Is this model safe to use?
56
  A. Yes, this model is non-volatile, and cannot generate malicous content
 
64
  Q. If I make media based on this model, like photos / videos, do I have to mention the Creator?
65
  A. No, if you are making a post about MindCraft, and using this model, you only have to mention the creator if you mention the model being used.
66
 
67
+ # Important notes and considerations
68
 
69
  The preview model of Andy-3.5, is Andy-3.5-teensy, a small model and tune with only 360 million parameters, it ***"understand Minecraft"***.
70
  I would not recommend Andy-3.5-teensy, I felt like making a joke, and a joke was made, *(The Andy-3.5-teensy model was a big hope, but it sucks, try out the q2_k model!)*
 
72
 
73
  When the full versions of Andy-3.5 and Andy-3.5-mini *(And possibly Andy-3.5-large)* release, they will both be trained on a context length of 32,000 to ensure proper usage during playing.
74
 
75
+ # 🔥UPDATE🔥
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+
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+ **All models and future models will have their own folder, besides the main version of Andy-3.5**
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+
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+ To find models such as reasoning or mini, go into files and search inside the folder
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+
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+ **There is an Andy-3.5-reasoning-preview model, designed to demonstrate reasoning abilities in small language models to improve Minecraft skills**
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+
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+ Remember that this is a ***preview*** model and is **not** guaranteed to work, nor perform better or the same as Andy-3.5-*(Base)*
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+
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+ When the full Andy-3.5-reasoning model is released, there will be the regular 7B model, as well as the mini model, which is 1.5B parameters.
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+
87
+ # Performance Metrics
88
 
89
  These benchmarks are a-typical, since most standard benchmarks don't apply to Minecraft
 
90
 
91
+ The benchmarks below include models via API that are cheap, and other fine-tuned local models *(Excluding Andy-v2 and Andy-v3, since they are poor in quality)*
92
+
93
+ ## Zero info Prompting
94
  *How fast can a model collect 16 oak logs, and convert them all into sticks*
95
 
96
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/86Seb1yxsB92LfSOhg5Jy.png)
 
100
  Test this for yourself using [this profile](https://huggingface.co/Sweaterdog/Andy-3.5/blob/main/local_demo.json)
101
 
102
 
103
+ ## Time to get a stone pickaxe
104
 
105
  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/uDiKIYuAAamt0Y7b58nr0.png)
106
 
 
111
  *For Andy-3.5-Teensy, I used the FP16 quantization*
112
  *For Mineslayerv1 and Mineslayerv2, I used the default (and only) quantization, Q4_K_M*
113
 
114
+ ## Notes about the benchmarks
115
 
116
  **Zero Info Prompting**
117