Update README.md

README.md

@@ -94,13 +94,13 @@ GeekedOut Quantizer is an advanced quantization framework designed to:
 
 
 
-## IQ2_M Quantization Features
+## The IQ2_M Intelligence Concept
 
 
 
 
 
-The **IQ2_M** (Intelligent Quants) quantization scheme features:
+GeekedOut Quantizer models are designed with intelligence as their primary capability. Through intelligent weight allocation, **intelligence** is preserved in critical parameters while less important weights are packed into minimal bit formats:
 
 
 
@@ -120,6 +120,56 @@ The **IQ2_M** (Intelligent Quants) quantization scheme features:
 
 
 
+## The Quantization Process
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+GeekedOut uses the A:\Geeked.Out software to create models that are intelligent through:
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+1. **Intelligent calibration** - imatrix-based calibration for optimal quantization quality
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+2. **Mixed-precision allocation** - critical parameters receive higher precision while less important weights receive minimal bit formats
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+3. **Block-wise optimization** - optimized scaling factors applied across weight blocks
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+4. **Smart allocation** - intelligence is preserved through intelligent weight distribution
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+## IQ2_M Quantization Features
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+The **IQ2_M** (Intelligent Quants) quantization scheme features:
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+- The quantized models retain conversational capability while achieving significant size reduction
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+- Compatible with llama.cpp, LM Studio, Jan, and other local inference frameworks
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+- Uses imatrix-based calibration for optimal quantization quality
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+- Developed by GeekedOut - focused on intelligent quantization methods
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 ## Supported Use Cases
 
 
@@ -132,7 +182,7 @@ GeekedOut Quantizer models are designed for:
 
 
 
-- Conversational AI applications
+- Conversational AI applications where intelligence is preserved through IQ2_M quantization
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 - Local inference with llama.cpp, LM Studio, Jan, and similar tools
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@@ -158,6 +208,18 @@ To load IQ2_M quantized models locally using llama.cpp or compatible inference f
 
 
 
+**Example:**
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+```bash
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+# Load the IQ2_M quantized model using llama.cpp
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+llama.cpp -hf LGxNDs/IQ2_M-2Bit-Quantization-By-Geeked-Out-Ai
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+```
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 ## Technical Notes
@@ -172,7 +234,15 @@ To load IQ2_M quantized models locally using llama.cpp or compatible inference f
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 - Uses imatrix-based calibration for optimal quantization quality
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-- Developed by GeekedOut - focused on intelligent quantization methods
+- Developed by GeekedOut - focused on intelligent quantization methods using A:\Geeked.Out software
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