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README.md

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 ---
-title: README
-emoji: 📊
-colorFrom: green
-colorTo: gray
-sdk: static
-pinned: false
+license: apache-2.0
+language:
+  - en
+  - he
+tags:
+  - liskCell
+  - AI
+  - deep-learning
+  - transformer
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+<p align="center">
+  <img src="https://readme-typing-svg.demolab.com?font=Orbitron&weight=700&size=42&duration=1&pause=99999&color=FF0000&center=true&vCenter=true&width=700&height=90&lines=liskCell+AI+Lab" alt="liskCell"/>
+</p>
+
+<p align="center">
+  <img src="https://readme-typing-svg.demolab.com?font=Fira+Code&size=16&duration=300&pause=100&color=FF0000&center=true&vCenter=true&width=800&height=20&lines=🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣" alt="RGB line"/>
+</p>
+
+<p align="center">
+  <img src="https://readme-typing-svg.demolab.com?font=Fira+Code&size=20&duration=2500&pause=600&color=FF0000&center=true&vCenter=true&width=700&height=45&multiline=false&lines=🔴+Advanced+AI+Research;🟠+Next-Gen+Language+Models;🟡+Multilingual+Intelligence;🟢+Open+Source+Innovation;🔵+liskasYR+%40+liskCell;🟣+Pushing+AI+Boundaries" alt="RGB typing animation"/>
+</p>
+
+# 🧠 liskCell Model Card
+
+> **Developed by:** [liskasYR (Yonatan Yusupov)](https://github.com/liskasYR) · **liskCell AI Lab**  
+> **Organization:** [liskCell](https://huggingface.co/liskCell) — An advanced AI research laboratory pushing the boundaries of intelligent systems.
+
+<p align="center">
+  <img src="https://img.shields.io/badge/liskCell-AI%20Lab-FF0000?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0id2hpdGUiIGQ9Ik0xMiAyTDIgN2wxMCA1IDEwLTV6TTIgMTdsOSA1IDktNXYtN2wtOSA1LTktNXoiLz48L3N2Zz4=" alt="liskCell"/>
+  <img src="https://img.shields.io/badge/Developer-liskasYR-FF8800?style=for-the-badge&logo=github" alt="liskasYR"/>
+  <img src="https://img.shields.io/badge/HuggingFace-Model%20Card-FFFF00?style=for-the-badge&logo=huggingface&logoColor=black" alt="HuggingFace"/>
+  <img src="https://img.shields.io/badge/License-Apache%202.0-00CC44?style=for-the-badge" alt="License"/>
+  <img src="https://img.shields.io/badge/Lang-EN%20%7C%20HE-0088FF?style=for-the-badge" alt="Language"/>
+  <img src="https://img.shields.io/badge/Status-Active-AA00FF?style=for-the-badge" alt="Status"/>
+</p>
+
+---
+
+## 📌 Model Description
+
+This model was developed at **liskCell**, an AI lab company pioneering next-generation language and multimodal intelligence — on par with the world's leading AI research organizations.
+
+This model card provides metadata, usage instructions, training details, evaluation results, and ethical considerations for the model.
+
+| Field | Details |
+|-------|---------|
+| **Model Type** | Large Language Model (LLM) |
+| **Developer** | liskasYR @ liskCell |
+| **License** | Apache 2.0 |
+| **Languages** | English, Hebrew |
+| **Architecture** | Transformer-based |
+| **Framework** | 🤗 Transformers |
+
+---
+
+## 🚀 Getting Started
+
+### Installation
+
+```bash
+pip install transformers torch
+```
+
+### Quick Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "liskCell/model-name"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+inputs = tokenizer("Hello, I am liskCell AI:", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## 🏋️ Training Details
+
+### Training Data
+
+The model was trained on a curated, high-quality dataset compiled by the **liskCell** research team. The dataset covers diverse domains including science, reasoning, coding, and multilingual content.
+
+### Training Procedure
+
+| Parameter | Value |
+|-----------|-------|
+| **Optimizer** | AdamW |
+| **Learning Rate** | 2e-5 |
+| **Batch Size** | 32 |
+| **Epochs** | 3 |
+| **Hardware** | NVIDIA A100 GPUs |
+| **Framework** | PyTorch + 🤗 Transformers |
+
+---
+
+## 📊 Evaluation Results
+
+| Benchmark | Score |
+|-----------|-------|
+| MMLU | — |
+| HellaSwag | — |
+| HumanEval | — |
+| TruthfulQA | — |
+
+> *Full evaluation results will be published by liskCell upon official release.*
+
+---
+
+## ⚠️ Limitations & Biases
+
+- The model may produce incorrect or hallucinated information.
+- Performance may vary across languages and domains.
+- Not suitable for high-stakes decisions without human review.
+- Potential for biases inherited from training data.
+
+---
+
+## 🔐 Ethical Considerations
+
+**liskCell** is committed to responsible AI development. This model:
+
+- Was evaluated for harmful content generation
+- Follows safety guidelines aligned with international AI ethics standards
+- Should **not** be used for misinformation, harm, or illegal activities
+
+---
+
+## 📄 Citation
+
+If you use this model in your research, please cite:
+
+```bibtex
+@misc{liskcell2026,
+  author       = {Yusupov, Yonatan and liskCell AI Lab},
+  title        = {liskCell Language Model},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/liskCell}},
+}
+```
+
+---
+
+## 📬 Contact
+
+- **Developer:** liskasYR (Yonatan Yusupov)
+- **Organization:** liskCell AI Lab
+- **HuggingFace:** [@liskCell](https://huggingface.co/liskCell)
+
+---
+
+<p align="center">
+  <img src="https://readme-typing-svg.demolab.com?font=Fira+Code&size=16&duration=300&pause=100&color=FF0000&center=true&vCenter=true&width=800&height=20&lines=🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣🔴🟠🟡🟢🔵🟣" alt="RGB footer"/>
+</p>
+
+<p align="center">
+  <img src="https://readme-typing-svg.demolab.com?font=Fira+Code&size=14&duration=2000&pause=800&color=FF6600&center=true&vCenter=true&width=600&height=30&lines=Made+with+%E2%9D%A4%EF%B8%8F+by+liskCell+AI+Lab;Powered+by+liskasYR+%28Yonatan+Yusupov%29;Research+%26+Innovation+%F0%9F%9A%80" alt="Footer animation"/>
+</p>