| | --- |
| | library_name: transformers |
| | tags: |
| | - emotional-ai |
| | - ICONN |
| | - chatbot |
| | - base |
| | co2_eq_emissions: |
| | emissions: 3.37 |
| | source: CodeCarbon |
| | training_type: pretraining |
| | geographical_location: US-West |
| | hardware_used: 18 x B200 |
| | pipeline_tag: text-generation |
| | license: apache-2.0 |
| | --- |
| | |
| | <div align="center" style="line-height: 1;"> |
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| |  |
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| | <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> |
| | |
| |
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| | <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> |
| | |
| | <a href="https://github.com/organizations/ICONN-AI/" target="_blank" style="margin: 2px;"> |
| | <img alt="ICONN on GitHub" src="https://img.shields.io/badge/🐙_ICONN_on_GitHub-ICONN--AI-8C8CFF?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="Follow ICONNAI" src="https://img.shields.io/badge/⭐_Follow_ICONNAI-HuggingFace-A4BCF0?style=flat-square&labelColor=2C3E50" style="display: inline-block; vertical-align: middle;" /> |
| | </a> |
| | |
| | </div> |
| |
|
| | # ICONN e1: The new era of Open-Source AI |
| |
|
| | **GPU poor? Less than 3x A100s? A e1 Lite model is coming with just 22B parameters alongside a model for consumer CPUs with 14B and 7B parameters.** |
| |
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| | - **Emotional Context Awareness** |
| | ICONN e1 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** |
| | ICONN e1 is one of the most powerful reasoning open-source models, and most closed-source models in or out of Huggingface. |
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| |
|
| | # What is in the ICONN i1 MoE? |
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| | ## ICONN i1 MoE and Experts |
| |
|
| | ICONN e1, being a MoE just like it's base model ICONN 1, has multiple expert models. Keywords are taken from the user's input to choose which expert generates the output. |
| |
|
| | | Expert Chosen | User Input | |
| | |---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
| | | ICONN-e1 | `'Hi!'` | |
| | | ICONN-e1-Pro | `Solve for m: m² − (2 + ∑₍ⱼ₌₁₎² j)·m + (1 + ∑₍ⱼ₌₁₎³ j² − 14) = 0.` | |
| | | ICONN-e1-Science | `If a stable isotope of Ununoctium (Uuo, now Og) could be synthesized in bulk, what would be its most likely physical state at STP and why, considering relativistic effects?` | |
| | | ICONN-e1-Code | `Create a zero-dependency quantum-safe VM in Zig that compiles a domain-specific language into a fully homomorphic encrypted IR, supports hot-reloading WebAssembly modules, parallel scheduling via lock-free fibers, and performs live introspection through a headless OpenGL debug overlay.` | |
| |
|
| | **ICONN-e1:** |
| | ICONN's general-purpose reasoning model, designed for everyday tasks, logic, and conversation. |
| |
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| | **ICONN-e1-Pro:** |
| | ICONN's advanced reasoning model, optimized for complex problem-solving in math, logic, and professional domains. |
| |
|
| | **ICONN-e1-Science:** |
| | ICONN's scientific expert model, trained on advanced science datasets to enhance precision in physics, chemistry, biology, and technical reasoning. |
| |
|
| | **ICONN-e1-Code:** |
| | ICONN's coding specialist, trained for programming, compiler theory, software architecture, and technical code generation across multiple languages. |
| |
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| |
|
| | # Usage |
| | **First, make sure you have at least 4x Nvidia A100 or a single B100, and 120GB RAM and 120-192GB VRAM. Don't have this? Use our Lite model, coming soon. |
| | |
| | > Run the code below to run ICONN i1: |
| | |
| | ```python |
| | from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline |
| | import torch |
| | |
| | def run_iconn_chatbot(model_name="ICONNAI/ICONN-e1"): |
| | |
| | tokenizer = AutoTokenizer.from_pretrained(model_name) |
| | model = AutoModelForCausalLM.from_pretrained(model_name) |
| | |
| | device = 0 if torch.cuda.is_available() else -1 |
| | |
| | chat_pipeline = pipeline( |
| | "text-generation", |
| | model=model, |
| | tokenizer=tokenizer, |
| | device=device, |
| | max_length=1624, |
| | do_sample=True, |
| | top_p=0.9, |
| | temperature=0.4, |
| | pad_token_id=tokenizer.eos_token_id |
| | ) |
| | |
| | print(f"ICONN chatbot running with model: {model_name}. Type 'exit' to quit.") |
| | conversation_history = "" |
| | |
| | while True: |
| | user_input = input("You: ") |
| | if user_input.lower() == "exit": |
| | print("Goodbye!") |
| | break |
| | |
| | conversation_history += f"User: {user_input}\nBot:" |
| | |
| | response = chat_pipeline(conversation_history, max_length=len(tokenizer.encode(conversation_history)) + 100)[0]['generated_text'] |
| | |
| | bot_reply = response[len(conversation_history):].strip().split("\n")[0] |
| | |
| | print(f"Bot: {bot_reply}") |
| | |
| | conversation_history += f" {bot_reply}\n" |
| | |
| | if __name__ == "__main__": |
| | run_iconn_chatbot() |
| | ``` |
| | |
| | ## Cite Us |
| | |
| | **If you use ICONN 1, please cite us as follows:** |
| | |
| | ```DoI |
| | |
| | @misc{iconnai_2025, |
| | author = { ICONNAI }, |
| | title = { ICONN-e1-Beta (Revision ca41146) }, |
| | year = 2025, |
| | url = { https://huggingface.co/ICONNAI/ICONN-e1-Beta }, |
| | doi = { 10.57967/hf/5861 }, |
| | publisher = { Hugging Face } |
| | } |
| | |
| | ``` |
