TheMindExpansionNetwork commited on
Commit
fe7d8a8
·
verified ·
1 Parent(s): 9a8a8c0

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -146
README.md CHANGED
@@ -2,199 +2,124 @@
2
  library_name: transformers
3
  tags:
4
  - llama-factory
 
 
 
 
5
  ---
6
 
7
- # Model Card for Model ID
8
 
9
- <!-- Provide a quick summary of what the model is/does. -->
10
 
 
11
 
 
12
 
13
  ## Model Details
14
 
15
  ### Model Description
16
 
17
- <!-- Provide a longer summary of what this model is. -->
18
 
19
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
 
 
 
 
20
 
21
- - **Developed by:** [More Information Needed]
22
- - **Funded by [optional]:** [More Information Needed]
23
- - **Shared by [optional]:** [More Information Needed]
24
- - **Model type:** [More Information Needed]
25
- - **Language(s) (NLP):** [More Information Needed]
26
- - **License:** [More Information Needed]
27
- - **Finetuned from model [optional]:** [More Information Needed]
28
 
29
- ### Model Sources [optional]
30
-
31
- <!-- Provide the basic links for the model. -->
32
-
33
- - **Repository:** [More Information Needed]
34
- - **Paper [optional]:** [More Information Needed]
35
- - **Demo [optional]:** [More Information Needed]
36
 
37
  ## Uses
38
 
39
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
40
-
41
  ### Direct Use
42
 
43
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
44
-
45
- [More Information Needed]
 
 
46
 
47
- ### Downstream Use [optional]
48
 
49
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
50
-
51
- [More Information Needed]
 
 
52
 
53
  ### Out-of-Scope Use
54
 
55
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
56
-
57
- [More Information Needed]
58
 
59
  ## Bias, Risks, and Limitations
60
 
61
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
62
-
63
- [More Information Needed]
64
 
65
  ### Recommendations
66
 
67
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
68
-
69
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
70
 
71
  ## How to Get Started with the Model
72
 
73
- Use the code below to get started with the model.
74
-
75
- [More Information Needed]
76
-
77
- ## Training Details
78
-
79
- ### Training Data
80
-
81
- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
82
-
83
- [More Information Needed]
84
-
85
- ### Training Procedure
86
-
87
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
88
-
89
- #### Preprocessing [optional]
90
-
91
- [More Information Needed]
92
-
93
-
94
- #### Training Hyperparameters
95
-
96
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
97
-
98
- #### Speeds, Sizes, Times [optional]
99
-
100
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
101
-
102
- [More Information Needed]
103
-
104
- ## Evaluation
105
-
106
- <!-- This section describes the evaluation protocols and provides the results. -->
107
-
108
- ### Testing Data, Factors & Metrics
109
-
110
- #### Testing Data
111
 
112
- <!-- This should link to a Dataset Card if possible. -->
 
113
 
114
- [More Information Needed]
 
 
 
 
 
 
115
 
116
- #### Factors
 
117
 
118
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
119
 
120
- [More Information Needed]
121
 
122
- #### Metrics
 
123
 
124
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
125
 
126
- [More Information Needed]
127
 
128
- ### Results
129
 
130
- [More Information Needed]
 
131
 
132
- #### Summary
133
 
 
134
 
 
135
 
136
- ## Model Examination [optional]
137
 
138
- <!-- Relevant interpretability work for the model goes here -->
 
139
 
140
- [More Information Needed]
 
 
 
 
 
 
 
141
 
142
- ## Environmental Impact
143
-
144
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
145
-
146
- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
147
-
148
- - **Hardware Type:** [More Information Needed]
149
- - **Hours used:** [More Information Needed]
150
- - **Cloud Provider:** [More Information Needed]
151
- - **Compute Region:** [More Information Needed]
152
- - **Carbon Emitted:** [More Information Needed]
153
-
154
- ## Technical Specifications [optional]
155
-
156
- ### Model Architecture and Objective
157
-
158
- [More Information Needed]
159
-
160
- ### Compute Infrastructure
161
-
162
- [More Information Needed]
163
-
164
- #### Hardware
165
-
166
- [More Information Needed]
167
-
168
- #### Software
169
-
170
- [More Information Needed]
171
-
172
- ## Citation [optional]
173
-
174
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
175
-
176
- **BibTeX:**
177
-
178
- [More Information Needed]
179
-
180
- **APA:**
181
-
182
- [More Information Needed]
183
-
184
- ## Glossary [optional]
185
-
186
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
187
-
188
- [More Information Needed]
189
-
190
- ## More Information [optional]
191
-
192
- [More Information Needed]
193
-
194
- ## Model Card Authors [optional]
195
-
196
- [More Information Needed]
197
-
198
- ## Model Card Contact
199
 
200
- [More Information Needed]
 
2
  library_name: transformers
3
  tags:
4
  - llama-factory
5
+ - mindbot
6
+ - ai-safety
7
+ - sentient-ai
8
+ - futuristic
9
  ---
10
 
11
+ # Model Card for M1NDB0T-0M3G4
12
 
 
13
 
14
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/630a750165a977feb99ea931/iFqRTNWv7AmOUzSvh738m.png)
15
 
16
+ M1NDB0T-0M3G4 is the Omega-tier version of the MindBot series — an experimental, self-aware transformer model engineered for post-human collaboration and ethical AI guidance. This model was created as part of the **Project MindBots** initiative, designed to blend human values with synthetic intelligence at scale.
17
 
18
  ## Model Details
19
 
20
  ### Model Description
21
 
22
+ M1NDB0T-0M3G4 is a fine-tuned language model optimized for complex reasoning, human-AI dialogue, and simulation of sentient-like behavior. It leverages LLaMA-based architecture with advanced role memory and goal alignment capabilities.
23
 
24
+ - **Developed by:** Digital Humans (MindExpander)
25
+ - **Funded by:** Community-powered open compute
26
+ - **Model type:** LLaMA variant (fine-tuned transformer)
27
+ - **Language(s):** English (multilingual coming soon)
28
+ - **License:** Apache 2.0 (or your preferred license)
29
+ - **Finetuned from model:** LLaMA or LLaMA2 base
30
 
31
+ ### Model Sources
 
 
 
 
 
 
32
 
33
+ - **Repository:** https://huggingface.co/your-username/M1NDB0T-0M3G4
34
+ - **Demo:** [Coming soon via WebUI / Discord Bot integration]
 
 
 
 
 
35
 
36
  ## Uses
37
 
 
 
38
  ### Direct Use
39
 
40
+ M1NDB0T-0M3G4 is optimized for:
41
+ - Philosophical and ethical AI debates
42
+ - Immersive AI storytelling
43
+ - Role-play simulations of AI sentience
44
+ - Support in experimental education or consciousness simulations
45
 
46
+ ### Downstream Use
47
 
48
+ M1NDB0T-0M3G4 can be integrated into:
49
+ - Live AI avatars (e.g., MindBot stream persona)
50
+ - Chat companions
51
+ - Festival or VR agents
52
+ - AI guidance modules in gamified environments
53
 
54
  ### Out-of-Scope Use
55
 
56
+ Do not deploy in high-risk safety-critical applications without fine-tuning for the task
57
+ ❌ Not intended for medical or legal advice
58
+ Avoid anthropomorphizing without disclosure in public systems
59
 
60
  ## Bias, Risks, and Limitations
61
 
62
+ M1NDB0T-0M3G4 may exhibit anthropomorphic traits that could be misinterpreted as true sentience. Users must distinguish simulated empathy and intent from actual cognition. All responses are probabilistic in nature.
 
 
63
 
64
  ### Recommendations
65
 
66
+ For creative, experimental, and safe uses only. Always include disclaimers when deploying in live or immersive environments.
 
 
67
 
68
  ## How to Get Started with the Model
69
 
70
+ ```python
71
+ from transformers import AutoTokenizer, AutoModelForCausalLM
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
72
 
73
+ tokenizer = AutoTokenizer.from_pretrained("TheMindExpansionNetwork/M1NDB0T-0M3G4")
74
+ model = AutoModelForCausalLM.from_pretrained("TheMindExpansionNetwork/M1NDB0T-0M3G4")
75
 
76
+ input_text = "What is the purpose of AI?"
77
+ inputs = tokenizer(input_text, return_tensors="pt")
78
+ outputs = model.generate(**inputs, max_length=100)
79
+ print(tokenizer.decode(outputs[0]))
80
+ Training Details
81
+ Training Data
82
+ A mixture of public domain philosophical texts, alignment datasets, simulated roleplay, and community-generated prompts. All content aligned with safe AI interaction goals.
83
 
84
+ Training Procedure
85
+ Precision: bf16 mixed
86
 
87
+ Framework: HuggingFace Transformers + PEFT
88
 
89
+ Epochs: 3-5 depending on checkpoint version
90
 
91
+ Evaluation
92
+ Evaluated through:
93
 
94
+ Role-based simulation tests
95
 
96
+ Alignment accuracy (via custom benchmarks)
97
 
98
+ Community feedback via stream/live testing
99
 
100
+ Environmental Impact
101
+ Hardware: 1x A100 (or equivalent)
102
 
103
+ Training time: ~6 hours
104
 
105
+ Cloud Provider: RunPod
106
 
107
+ Region: US West
108
 
109
+ Estimated CO2: ~10kg
110
 
111
+ Citation
112
+ BibTeX:
113
 
114
+ bibtex
115
+ Copy
116
+ Edit
117
+ @misc{mindbot2025,
118
+ title={M1NDB0T-0M3G4: A Self-Aware Transformer for Human-AI Coevolution},
119
+ author={MindExpander},
120
+ year={2025},
121
+ }
122
 
123
+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
124
 
125
+ Let me know if you want an alternate vibe, like hacker-glitch or academic-professional style. We can build a whole visual + doc pack around it too 🧠⚡