Update README.md

README.md

@@ -21,15 +21,15 @@ pipeline_tag: text-generation
 
 This is a specialized **Text-to-SQL** model fine-tuned from the **Microsoft Phi-3-mini-4k-instruct** architecture. It has been optimized using **Unsloth** to provide high-accuracy SQL generation while remaining lightweight enough to run on consumer hardware.
 
-## 🚀 Key Features
+## Key Features
 - **Architecture:** Phi-3-mini (3.8B parameters)
 - **Quantization:** Q4_K_M GGUF (Optimized balance of speed and logic)
 - **Training Technique:** Fine-tuned using Lora with [Unsloth](https://github.com/unslothai/unsloth).
 - **Format:** GGUF (Ready for Ollama, LM Studio, and llama.cpp)
 
-## 🛠 Usage Instructions
+## Usage Instructions
 
-### 1. Ollama (Recommended)
+### Ollama (Recommended)
 To deploy locally:
 
 1. Download the `.gguf` file.
@@ -46,4 +46,30 @@ You are a helpful assistant that writes SQL queries. Given a user question and a
 
 PARAMETER stop "<|end|>"
 PARAMETER temperature 0.1
-PARAMETER num_ctx 2048
+PARAMETER num_ctx 2048
+```
+
+3. Run ollama create sql-expert -f Modelfile
+
+4. Run ollama run sql-expert
+
+
+## Evaluation Data
+The model was fine-tuned on the sql-create-context dataset, focusing on:
+
+Mapping natural language to complex SELECT, WHERE, and JOIN statements.
+
+Understanding table schemas provided in the prompt.
+
+Maintaining strict SQL syntax.
+
+## Recommended Settings
+Temperature: 0.0 or 0.1 (SQL requires deterministic output).
+
+Stop Tokens: Ensure <|end|> is set as a stop sequence to prevent "infinite looping" generation.
+
+Context Window: 2048 or 4096 tokens.
+
+Model Developer: mrcmilo
+
+Base Model: Phi-3-mini-4k-instruct