Update README.md

README.md

@@ -1,12 +1,11 @@
 ---
-base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit
+base_model: llama-3.2-3b-instruct-bnb-4bit
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - llama
-- trl
-- sft
+- gguf
 license: apache-2.0
 language:
 - en
@@ -16,8 +15,46 @@ language:
 
 - **Developed by:** alphaaico
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-bnb-4bit
+- **Finetuned from model :** llama-3.2-3b-instruct-bnb-4bit
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+**AlphaAI-Chatty-INT1**
+
+Overview
+AlphaAI-Chatty-INT1 is a fine-tuned LLaMA 3B Small model optimized for chatty and engaging conversations. This model has been trained on a proprietary conversational dataset, making it well-suited for local deployments that require a natural, interactive dialogue experience.
+
+The model is available in GGUF format and has been quantized to different levels to support various hardware configurations.
+
+**Model Details**
+- Base Model: LLaMA 3B Small
+- Fine-tuned By: Alpha AI
+- Training Framework: Unsloth
+
+Quantization Levels Available:
+- q4_k_m
+- q5_k_m
+- q8_0
+- 16-bit (full precision) https://huggingface.co/alphaaico/AlphaAI-Chatty-INT1-16bit
+
+Format: GGUF (Optimized for local deployments)
+
+Use Cases:
+- Conversational AI – Ideal for chatbots, virtual assistants, and customer support.
+- Local AI Deployments – Runs efficiently on local machines without requiring cloud-based inference.
+- Research & Experimentation – Suitable for studying conversational AI and fine-tuning on domain-specific datasets.
+
+Model Performance
+The model has been optimized for chat-style interactions, ensuring:
+- Engaging and context-aware responses
+- Efficient performance on consumer hardware
+- Balanced coherence and creativity in conversations
+
+Limitations & Biases
+This model, like any AI system, may have biases from the training data. It is recommended to use it responsibly and fine-tune further if needed for specific applications.
+
+License
+This model is released under a permissible license. Please check the Hugging Face repository for more details.
+
+Acknowledgments
+Special thanks to the Unsloth team for providing an optimized training pipeline for LLaMA models.