Update README.md

README.md

@@ -1,22 +1,95 @@
+# Model Card: Llama-3.2-3B-Qgis-update1-q4_k_m-Instruct
+
+## Overview
+
+**Model Name**: `Llama-3.2-3B-Qgis-update1-q4_k_m-Instruct`  
+**Developer**: `boadisamson`  
+**Base Model**: `unsloth/llama-3.2-3b-instruct-bnb-4bit`  
+**License**: [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)  
+**Primary Use Case**: QGIS-related tasks, conversational applications, and instruction-following in English.  
+
+This model is fine-tuned for QGIS workflows, geospatial data handling, and instructional conversational capabilities. Optimized using the Hugging Face TRL library and accelerated by Unsloth, it achieves efficient inference while maintaining high-quality responses.
+
+---
+
+## Key Features
+
+- **Domain-Specific Expertise**: Trained on QGIS-specific tasks, making it ideal for geospatial workflows.
+- **Instruction Following**: Excels in providing clear, step-by-step guidance for GIS-related queries.
+- **Optimized Performance**: Fine-tuned with 4-bit quantization (`bnb-4bit`) for faster performance and reduced memory requirements.
+- **Conversational Abilities**: Suitable for interactive, conversational applications related to GIS.
+
+---
+
+## Technical Specifications
+
+- **Model Architecture**: LLaMA-based (3 billion parameters).  
+- **Frameworks Used**: Transformers, GGUF, and Hugging Face TRL library.  
+- **Quantization**: Q4_K_M (4-bit quantization for efficient memory usage).  
+- **Language**: English.
+
+---
+
+## Training Details
+
+This model was trained using:
+
+- **Fine-Tuning**: Utilized the Hugging Face TRL library for efficient instruction-based adaptation.
+- **Acceleration**: Achieved 2x faster training through Unsloth optimizations.
+- **Dataset**: Tailored datasets for QGIS-related queries, workflows, and instructional scenarios.
+
+---
+
+## Use Cases
+
+- **Geospatial Analysis**: Answering GIS-related questions and offering guidance on geospatial workflows.  
+- **QGIS Tutorials**: Providing step-by-step instructions for beginners and advanced users.  
+- **Conversational Applications**: Supporting natural dialogue for instructional and technical purposes.
+
 ---
-base_model: unsloth/llama-3.2-3b-instruct-bnb-4bit
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- gguf
-license: apache-2.0
-language:
-- en
+
+## Inference
+
+This model is compatible with:
+
+- **Hugging Face Inference Endpoints**: For seamless deployment and scalable use.  
+- **Text-Generation-Inference**: Efficient handling of input queries.  
+- **GGUF Format**: Optimized for low-latency, high-performance inference.
+
+---
+
+## How to Use
+
+Load the model using Hugging Face’s `transformers` library:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("boadisamson/Llama-3.2-3B-Qgis-update1-q4_k_m-Instruct")
+model = AutoModelForCausalLM.from_pretrained("boadisamson/Llama-3.2-3B-Qgis-update1-q4_k_m-Instruct", device_map="auto")
+```
+
+Generate text:
+
+```python
+input_text = "How do I add a layer in QGIS?"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0]))
+```
+
 ---
 
-# Uploaded  model
+## Limitations
+
+- **Domain-Specific Focus**: While optimized for QGIS tasks, performance may degrade on unrelated topics.  
+- **Resource Constraints**: Despite 4-bit quantization, larger contexts or prolonged sessions may require more resources.  
+
+---
 
-- **Developed by:** boadisamson
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-bnb-4bit
+## Acknowledgments
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+- Base model: `unsloth/llama-3.2-3b-instruct-bnb-4bit`.  
+- Training accelerations provided by Unsloth and Hugging Face TRL library.  
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+For questions or suggestions, contact `boadisamson` on Hugging Face.