Create README.md

README.md

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+---
+datasets:
+- d3LLM-Data-LLaDA/trajectory_data_llada_32
+tags:
+- diffusion
+- text-generation
+- fast-inference
+- d3llm
+pipeline_tag: text-generation
+---
+
+
+# d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation 🚀
+
+## Model Description
+
+**d3LLM-LLaDA** is an ultra-fast diffusion language model that achieves high generation speed while maintaining competitive performance. Built on the Dream architecture.
+
+## Key Features
+
+- 🚀 **4.9× faster** than autoregressive models (Qwen-2.5-7B-it) on H100 GPU
+- 🎯 **3.5× faster** on A100 GPU
+- ⚡ **280.97 tokens/s** on H100 (vs 57.32 for AR baseline)
+- 📊 High AUP (Accuracy Under Parallelism) scores across benchmarks
+- 🔧 Optimized for coding and math reasoning tasks
+
+## Usage
+
+For detailed usage instructions, evaluation scripts, and training code, please refer to the official GitHub repository:
+
+👉 **[https://github.com/hao-ai-lab/text-diffusion](https://github.com/hao-ai-lab/text-diffusion)**