Enderchef from ICONN AI

README.md

@@ -1,5 +1,7 @@
 ---
-license: apache-2.0
+license: other
+license_name: iconn
+license_link: LICENSE
 library_name: transformers
 tags:
 - emotional-ai
@@ -12,96 +14,62 @@ co2_eq_emissions:
   training_type: pretraining
   geographical_location: US-West
   hardware_used: 9 x B200
-extra_gated_prompt: >
-  By accessing or downloading this model, you agree to the ICONN AI License
-  Agreement.  This includes restrictions on commercial use, redistribution,
-  derivative model training,  and uploading to public or private repositories.
-  You may not use this model to harm, surveil,  deceive, exploit, manipulate, or
-  conduct unethical AI research. All use must comply with  ethical standards and
-  respect human dignity.
-extra_gated_fields:
-  Full name: text
-  Organization (if any): text
-  Country: country
-  Date of agreement: date_picker
-  I am using this model for:
-    type: select
-    options:
-    - Personal use
-    - Internal business use
-    - Academic research
-    - Educational purposes
-    - label: Other (explain below)
-      value: other
-  Purpose explanation (if "Other"): text
-  I agree to all terms in the ICONN AI License Agreement, including:
-    type: checkbox
-    options:
-    - >-
-      I will NOT use this model for commercial purposes without explicit written
-      permission.
-    - >-
-      I will NOT redistribute, upload, or share this model in any public or
-      private repository.
-    - I will NOT train new models or derivatives from this model.
-    - >-
-      I will NOT use this model for unethical, harmful, deceptive, exploitative,
-      or surveillance purposes.
-    - I understand this license may be revoked if I breach any terms.
 pipeline_tag: text-generation
-base_model:
-- ICONNAI/ICONN-1
 ---
-# ICONN 1: The new era of Open-Source AI
-**Are you GPU poor? Less than 3x A100s? Use our Lite model with 22B parameters:** [ICONN 0.5 Mini](https://huggingface.co/Enderchef/ICONN-0.5-Mini)
-
-
--   **Emotional Context Awareness**  
-    ICONN 1 interprets emotional cues and adjusts tone, vocabulary, and response style—offering a more human-like, emotionally reactive experience.
-    
--   ** ICONN Emotional Core (IEC) (Notice: Not available on Huggingface)**  
-    Powered by millions of small AI agents, IEC gives ICONN its emotional personality, with billions of simulated emotional states and detections.
-    
--   **Reasoning + Relating**  
-    Beyond logic, ICONN relates. Its architecture enables storytelling, coaching, collaborative thinking, and conversational creativity.
-
-
+![ICONN AI Logo](https://i.postimg.cc/gJwHqh1D/svgviewer-png-output.png)
+<div align="center" style="line-height: 1;">
+  <a href="https://huggingface.co/collections/ICONNAI/iconn-1-6851e8a88ed4eb66b4fd0132" target="_blank" style="margin: 2px;">
+    <img alt="ICONN 1 Models" src="https://img.shields.io/badge/📦_ICONN_1_Models-HuggingFace-1CBEEF?style=flat-square&labelColor=2C3E50" style="display: inline-block; vertical-align: middle;" />
+  </a>
+  <a href="https://huggingface.co/spaces/ICONNAI/ICONN-Mini-Chat" target="_blank" style="margin: 2px;">
+    <img alt="ICONN 1 Chat" src="https://img.shields.io/badge/💬_ICONN_1_Chat-Online-65C7F9?style=flat-square&labelColor=2C3E50" style="display: inline-block; vertical-align: middle;" />
+  </a>
+  <a href="https://huggingface.co/ICONNAI" target="_blank" style="margin: 2px;">
+    <img alt="ICONN on Hugging Face" src="https://img.shields.io/badge/🤗_ICONN_on_HF-ICONNAI-A4BCF0?style=flat-square&labelColor=2C3E50" style="display: inline-block; vertical-align: middle;" />
+  </a>
+  <a href="https://opensource.org/license/apache-2-0" target="_blank" style="margin: 2px;">
+    <img alt="License Apache 2.0" src="https://img.shields.io/badge/⚖️_License-Apache_2.0-5C63DA?style=flat-square&labelColor=2C3E50" style="display: inline-block; vertical-align: middle;" />
+  </a>
+</div>
 
+## ICONN 1
+We proudly introduce **ICONN-1**, the most advanced and human-like open-source artificial intelligence model under 100B parameters of its time. Designed to push the boundaries of natural language understanding and generation, ICONN-1 is built on a **Mixture-of-Experts (MoE)** architecture that enables dynamic routing through specialized expert pathways, allowing for both computational efficiency and enhanced performance.
 
+Developed entirely from scratch, ICONN-1 is based on a customized **Mixtral** framework and comprises **88 billion parameters**, with **22 billion parameters actively utilized per token**. This approach allows ICONN-1 to deliver highly nuanced and contextually accurate responses while maintaining the scalability benefits of sparse activation.
 
-# What is in the ICONN MoE?
+ICONN-1 is released in two distinct forms to serve different application needs:
 
+-   **ICONN-1** (this version) is  optimized for natural, emotionally resonant, and conversational interactions.
+-   **ICONN-e1** is a specialized variant of the model fine-tuned for advanced reasoning, critical analysis, and complex problem-solving.
 
+Together, these models represent a major leap forward in the evolution of AI systems—demonstrating not only deep reasoning but also a commitment to openness, accessibility, and human-aligned intelligence.
 
+![Comparison Chart](https://i.postimg.cc/tgYmDzSZ/Untitled-1.png)
 
+_These models were each benchmarked on a collection of 500 questions to compare output to a human for emotion and common sense. Benchmark performance may vary due to the stochastic nature of AI models. ICONN 1 retains the highest human-thinking benchmark score through many tests on different temperatures._
 
-## ICONN MoE and Experts
+## Usage
+## System Requirements
 
-ICONN, being a MoE, has multiple expert models. Keywords are taken from the user's input to choose which expert generates the output.
-|                |User Input|Expert Chosen                         |
-|----------------|-------------------------------|-----------------------------|
-||`'Hi!'`            |ICONN-Base            |
-|         |`What is physics?`            |ICONN-e1-Science            |
-|          |`Explain how to cube a number.`|ICONN-e1|
+To run **ICONN 1** effectively, ensure you have:
 
- **ICONN-1:** ICONN's base model.
+- **4× NVIDIA A100 GPUs** or a **single NVIDIA B100**
+- **At least 120 GB of system RAM**
+- **120–192 GB of GPU VRAM**
 
- **ICONN-e1-Science:** ICONN's reasoning model, fine tuned on many science datasets to increase scientific reasoning.
+If your system does not meet these requirements—which may be the case for many users—you can still experience ICONN through alternative options:
 
- **ICONN-e1:** ICONN's reasoning model.
-
- **ICONN-Writer:** ICONN's base model, fine-tuned on creative writing datasets.
-
-
-# Usage
-**First, make sure you have at least 4x Nvidia A100 or a single B100, and 120GB RAM and 120-192GB VRAM. If you do not have this(which you probably don't), you can chat with ICONN on our huggingface space, consider using our quantatized models, or using [ICONN 0.5 Mini (7-8B)](https://huggingface.co/Enderchef/ICONN-0.5-Mini)**
+- Use a **quantized version** of ICONN for lower resource consumption  
+- Try the lightweight [**ICONN 1 Mini (7B)**](https://huggingface.co/Enderchef/ICONN-0.5-Mini)
 
 > Run the code below to run ICONN 1:
 
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import torch
+
 def run_iconn_chatbot(model_name="ICONNAI/ICONN-1"):
+
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     model = AutoModelForCausalLM.from_pretrained(model_name)
     
@@ -137,6 +105,7 @@ def run_iconn_chatbot(model_name="ICONNAI/ICONN-1"):
         print(f"Bot: {bot_reply}")
         
         conversation_history += f" {bot_reply}\n"
+
 if __name__ == "__main__":
     run_iconn_chatbot()
-```
+```