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README.md

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+# Corelyn NeoH GGUF Model
+
+## Specifications :
+- Model Name: Corelyn NeoH
+- Base Name: NeoH-3.2
+- Type: Instruct / Fine-tuned
+- Architecture: LLaMA
+- Size: 3B parameters
+- Organization: Corelyn
+
+## Model Overview
+
+Corelyn NeoH is a 3-billion parameter LLaMA-based instruction-tuned model, designed for general-purpose assistant tasks and knowledge extraction. It is a fine-tuned variant optimized for instruction-following use cases.
+
+- Fine-tuning type: Instruct
+
+- Base architecture: LLaMA
+
+- Parameter count: 3B
+
+- Context length: 131,072 tokens
+
+### This model is suitable for applications such as:
+
+- Chatbots and conversational AI
+
+- Knowledge retrieval and Q&A
+
+- Code and text generation
+
+- Instruction-following tasks
+
+## Usage
+```python
+
+# pip install pip install llama-cpp-python
+
+from llama_cpp import Llama
+
+# Load the model (update the path to where your .gguf file is)
+llm = Llama(model_path="path/to/the/file/NeoH3.2.gguf")
+
+# Create chat completion
+response = llm.create_chat_completion(
+    messages=[{"role": "user", "content": "Create a Haiku about AI"}]
+)
+
+# Print the generated text
+print(response.choices[0].message["content"])
+
+
+```