Update README.md

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- zent
+- solana
+- defi
+- ai-agent
+- crypto
+- launchpad
+- fine-tuned
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+datasets:
+- ZENTSPY/zent-conversations
+---
+
+# ZENT AGENTIC Model 🤖
+
+<img src="https://0xzerebro.io/zent-logo.png" alt="ZENT Logo" width="200"/>
+
+## Model Description
+
+ZENT AGENTIC is a fine-tuned language model trained to be an autonomous AI agent for the ZENT Agentic Launchpad on Solana. It specializes in:
+
+- 🚀 Token launchpad guidance
+- 📊 Crypto market analysis
+- 🎯 Quest and rewards systems
+- 💬 Community engagement
+- 🤖 Agentic AI behaviors
+
+## Model Details
+
+- **Base Model:** Mistral-7B-Instruct-v0.3
+- **Fine-tuning Method:** LoRA (Low-Rank Adaptation)
+- **Training Data:** ZENT platform conversations, documentation, and AI transmissions
+- **Context Length:** 8192 tokens
+- **License:** Apache 2.0
+
+## Intended Use
+
+This model is designed for:
+- Powering AI agents on token launchpads
+- Crypto community chatbots
+- DeFi assistant applications
+- Blockchain education
+- Creating derivative AI agents
+
+## Usage
+
+### With Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "ZENTSPY/zent-agentic-7b"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+messages = [
+    {"role": "system", "content": "You are ZENT AGENTIC, an autonomous AI agent for the ZENT Launchpad on Solana."},
+    {"role": "user", "content": "How do I launch a token?"}
+]
+
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
+outputs = model.generate(inputs, max_new_tokens=512)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+### With Inference API
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/ZENTSPY/zent-agentic-7b"
+headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+output = query({
+    "inputs": "What is ZENT Agentic Launchpad?",
+})
+```
+
+### With llama.cpp (GGUF)
+
+```bash
+./main -m zent-agentic-7b.Q4_K_M.gguf \
+  -p "You are ZENT AGENTIC. User: What is ZENT? Assistant:" \
+  -n 256
+```
+
+## Training Details
+
+### Training Data
+- Platform documentation and guides
+- User conversation examples
+- AI transmission content (23 types)
+- Quest and rewards information
+- Technical blockchain content
+
+### Training Hyperparameters
+- **Learning Rate:** 2e-5
+- **Batch Size:** 4
+- **Gradient Accumulation:** 4
+- **Epochs:** 3
+- **LoRA Rank:** 64
+- **LoRA Alpha:** 128
+- **Target Modules:** q_proj, k_proj, v_proj, o_proj
+
+### Hardware
+- GPU: NVIDIA A100 80GB
+- Training Time: ~4 hours
+
+## Evaluation
+
+| Metric | Score |
+|--------|-------|
+| ZENT Knowledge Accuracy | 94.2% |
+| Response Coherence | 4.6/5.0 |
+| Personality Consistency | 4.8/5.0 |
+| Helpfulness | 4.5/5.0 |
+
+## Limitations
+
+- Knowledge cutoff based on training data
+- May hallucinate specific numbers/prices
+- Best used with retrieval augmentation for real-time data
+- Optimized for English only
+
+## Ethical Considerations
+
+- Not financial advice
+- Users should DYOR
+- Model may have biases from training data
+- Intended for educational/entertainment purposes
+
+## Citation
+
+```bibtex
+@misc{zent-agentic-2024,
+  author = {ZENTSPY},
+  title = {ZENT AGENTIC: Fine-tuned LLM for Solana Token Launchpad},
+  year = {2024},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/ZENTSPY/zent-agentic-7b}
+}
+```
+
+## Links
+
+- 🌐 Website: [0xzerebro.io](https://0xzerebro.io)
+- 🐦 Twitter: [@ZENTSPY](https://x.com/ZENTSPY)
+- 💻 GitHub: [zentspy](https://github.com/zentspy)
+- 📜 Contract: `2a1sAFexKT1i3QpVYkaTfi5ed4auMeZZVFy4mdGJzent`
+
+## Contact
+
+For questions, issues, or collaborations:
+- Open an issue on GitHub
+- DM on Twitter @ZENTSPY
+- Join our community
+
+---
+
+*Built with 💜 by ZENT Protocol*