Update README.md

README.md

@@ -1,22 +1,41 @@
 ---
+license: mit
 base_model: unsloth/Phi-3-mini-4k-instruct-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
+- text-to-sql
+- sql
+- phi-3
 - unsloth
-- mistral
-- trl
-license: apache-2.0
+- gguf
+- ollama
+datasets:
+- b-mc2/sql-create-context
 language:
 - en
 ---
 
-# Uploaded  model
+# Phi-3-SQL-Expert (GGUF)
 
-- **Developed by:** mrcmilo
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
+This model is a fine-tuned version of **Microsoft Phi-3-mini-4k-instruct**, specialized for **Text-to-SQL** conversion. It was trained using the `b-mc2/sql-create-context` dataset and is optimized for local inference on consumer hardware.
 
-This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
+## Model Details
+- **Architecture:** Phi-3-mini (3.8B parameters)
+- **Quantization:** Q4_K_M GGUF (Optimised for balance of speed/accuracy)
+- **Fine-tuning Technique:** LoRA (Low-Rank Adaptation) via Unsloth
+- **Primary Task:** Natural Language to SQL Query generation
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+## Usage (Ollama)
+To run this model locally, create a `Modelfile` with the following content:
+
+```dockerfile
+FROM ./phi3-sql-expert.Q4_K_M.gguf
+
+TEMPLATE """<|system|>
+You are a helpful assistant that writes SQL queries. Given a user question and a table schema, output only the SQL code.<|end|>
+<|user|>
+{{ .Prompt }}<|end|>
+<|assistant|>
+"""
+
+PARAMETER stop "<|end|>"
+PARAMETER temperature 0.1