Update README.md

README.md

@@ -12,13 +12,13 @@ pipeline_tag: text-generation
 
 [Qwen3-32B](https://huggingface.co/Qwen3/Qwen3-32B) model quantized with [torchao](https://huggingface.co/docs/transformers/main/en/quantization/torchao) float8 dynamic activation and float8 weight quantization (per row granularity), by PyTorch team. Use it directly, or serve using [vLLM](https://docs.vllm.ai/en/latest/) with TODO VRAM reduction, TODO speedup and little to no accuracy impact on H100.
 
-# Inference with vLLM
+# 1. Inference with vLLM
 TODO
 
-# Inference with Transformers
+# 2. Inference with Transformers
 TODO
 
-# Quantization Recipe
+# 3. Quantization Recipe
 
 Install the required packages:
 
@@ -77,17 +77,16 @@ print("thinking content:", thinking_content)
 print("content:", content)
 ```
 
-# Model Quality
+# 4. Model Quality
 TODO
 
-# Peak Memory Usage
+# 5. Peak Memory Usage
 TODO
 
-# Model Performance
+# 6. Model Performance
 TODO
 
-
-# Disclaimer
+# 7. Disclaimer
 PyTorch has not performed safety evaluations or red teamed the quantized models. Performance characteristics, outputs, and behaviors may differ from the original models. Users are solely responsible for selecting appropriate use cases, evaluating and mitigating for accuracy, safety, and fairness, ensuring security, and complying with all applicable laws and regulations.
 
 Nothing contained in this Model Card should be interpreted as or deemed a restriction or modification to the licenses the models are released under, including any limitations of liability or disclaimers of warranties provided therein.