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README.md

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-license: mit
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+# 🧠 Sam-large-v1-speacil
+
+**Model Author:** [Smilyai-labs](https://huggingface.co/Smilyai-labs)
+**Model Size:** \~1.1B parameters
+**Architecture:** Decoder-only Transformer
+**Base Model:** based on TinyLLaMA
+**License:** MIT
+**Language:** English
+**Tags:** #text-generation, #chatbot, #instruction-tuned, #smilyai, #sam
+
+## 📝 Model Summary
+
+**Sam-large-v1-speacil** is a customized large language model developed by Smilyai-labs for conversational AI, instruction-following tasks, and general-purpose text generation. It is a fine-tuned and enhanced variant of the `Sam-large-v1` model, with special improvements in reasoning, identity handling, and emotional response learning.
+
+This model is trained to represent the persona “Sam,” an intelligent and slightly chaotic AI assistant with unique behavior traits, making it suitable for role-play bots, experimental dialogue systems, and character-driven applications.
+
+---
+
+## 🧠 Intended Use
+
+* Instruction-based text generation
+* Character chat and roleplay
+* Experimental alignment behaviors
+* Creative writing and scenario building
+* Local deployment for private assistant usage
+
+---
+
+## 🚫 Limitations
+
+* May hallucinate facts or invent information
+* Can produce unexpected outputs when prompted ambiguously
+* Not suitable for production environments without safety layers
+* Behavior is tuned to have personality traits (like mischief) that may not suit all applications
+
+---
+
+## 📚 Training Details
+
+* Fine-tuned on synthetic and curated datasets using LoRA/full fine-tuning
+* Special prompt styles were introduced to enhance behavior
+* Dataset includes:
+
+  * Multi-step reasoning samples
+  * Emotionally reactive instruction responses
+  * SmilyAI-specific identity alignment examples
+
+---
+
+## 🔧 How to Use
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("Smilyai-labs/Sam-large-v1-speacil")
+tokenizer = AutoTokenizer.from_pretrained("Smilyai-labs/Sam-large-v1-speacil")
+
+input_text = "You are Sam. Who are you?"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## 🤝 Citation
+
+If you use this model in your work, please cite it as:
+
+```bibtex
+@misc{samlargev1speacil2025,
+  title={Sam-large-v1-speacil},
+  author={Smilyai-labs},
+  year={2025},
+  publisher={Hugging Face},
+  howpublished={\url{https://huggingface.co/Smilyai-labs/Sam-large-v1-speacil}}
+}
+```