Update README.md

README.md

@@ -139,7 +139,6 @@ pip install torch>=2.1.0 transformers>=4.40.0 accelerate compressed-tensors
 | **Base Model** | [microsoft/NextCoder-32B](https://huggingface.co/microsoft/NextCoder-32B) |
 | **Quantization Method** | FP8 E4M3 weight-only |
 | **Framework** | llm-compressor + compressed_tensors |
-| **Calibration Samples** | 2048 (8x industry standard) |
 | **Storage Size** | ~32GB (sharded safetensors) |
 | **VRAM (vLLM)** | ~32GB |
 | **VRAM (Transformers)** | ~64GB+ (decompressed to BF16) |
@@ -192,12 +191,6 @@ The 32B model represents the flagship tier:
 - ✅ **Enterprise-grade completions** for mission-critical applications
 - ✅ **Best context understanding** across the model family
 
-## 🔬 Quality Assurance
-
-- **High-quality calibration:** 2048 diverse code samples (8x industry standard of 256)
-- **Validation:** Tested on code generation benchmarks
-- **Format:** Standard compressed_tensors for broad compatibility
-- **Optimization:** Fine-tuned calibration for code-specific patterns
 
 ## 📚 Original Model