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  ---
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- license: other
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- license_name: iconn
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- license_link: LICENSE
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  library_name: transformers
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  tags:
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  - emotional-ai
@@ -9,51 +6,44 @@ tags:
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  - chatbot
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  - base
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  co2_eq_emissions:
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- emissions: 2.74
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  source: CodeCarbon
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  training_type: pretraining
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  geographical_location: US-West
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  hardware_used: 18 x B200
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- extra_gated_prompt: >
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- By accessing or downloading this model, you agree to the ICONN AI License
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- Agreement. This includes restrictions on commercial use, redistribution,
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- derivative model training, and uploading to public or private repositories.
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- You may not use this model to harm, surveil, deceive, exploit, manipulate, or
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- conduct unethical AI research. All use must comply with ethical standards and
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- respect human dignity.
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- extra_gated_fields:
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- Full name: text
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- Organization (if any): text
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- Country: country
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- Date of agreement: date_picker
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- I am using this model for:
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- type: select
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- options:
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- - Personal use
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- - Internal business use
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- - Academic research
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- - Educational purposes
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- - label: Other (explain below)
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- value: other
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- Purpose explanation (if "Other"): text
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- I agree to all terms in the ICONN AI License Agreement, including:
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- type: checkbox
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- options:
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- - >-
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- I will NOT use this model for commercial purposes without explicit written
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- permission.
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- - >-
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- I will NOT redistribute, upload, or share this model in any public or
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- private repository.
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- - I will NOT train new models or derivatives from this model.
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- - >-
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- I will NOT use this model for unethical, harmful, deceptive, exploitative,
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- or surveillance purposes.
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- - I understand this license may be revoked if I breach any terms.
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  pipeline_tag: text-generation
 
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  ---
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- # ICONN e1: The new era of Open-Source CoT in AI
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  **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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  ---
 
 
 
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  library_name: transformers
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  tags:
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  - emotional-ai
 
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  - chatbot
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  - base
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  co2_eq_emissions:
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+ emissions: 3.37
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  source: CodeCarbon
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  training_type: pretraining
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  geographical_location: US-West
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  hardware_used: 18 x B200
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pipeline_tag: text-generation
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+ license: apache-2.0
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  ---
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+ <div align="center" style="line-height: 1;">
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+
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+ ![ICONN AI Logo](https://i.postimg.cc/gJwHqh1D/svgviewer-png-output.png)
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+
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+
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+ <a href="https://huggingface.co/collections/ICONNAI/iconn-1-6851e8a88ed4eb66b4fd0132" target="_blank" style="margin: 2px;">
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+ <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;" />
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+ </a>
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+
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+
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+ <a href="https://huggingface.co/ICONNAI" target="_blank" style="margin: 2px;">
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+ <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;" />
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+ </a>
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+
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+ <a href="https://opensource.org/license/apache-2-0" target="_blank" style="margin: 2px;">
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+ <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;" />
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+ </a>
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+
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+ <a href="https://github.com/organizations/ICONN-AI/" target="_blank" style="margin: 2px;">
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+ <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;" />
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+ </a>
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+
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+ <a href="https://huggingface.co/ICONNAI" target="_blank" style="margin: 2px;">
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+ <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;" />
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+ </a>
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+
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+ </div>
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+
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+ # ICONN e1: The new era of Open-Source AI
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  **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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