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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-32B-Instruct
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tags:
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- tensor-cores
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- int4-sparse
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- 2-4-sparsity
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- ptx
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- qwen-agentworld
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- world-model
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- low-latency
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- ampere
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- rtx3090
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- gsm8k
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- leaderboard
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model_name: Qwen-AgentWorld-27B-Uncensored-INT4-Sparse
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pipeline_tag: text-generation
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inference: false
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metrics:
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- gsm8k
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---
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# 🚀 Qwen-AgentWorld 27B INT4 2:4 Structured Sparse PTX Engine
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**Qwen-AgentWorld** is the first high-performance 7-Domain Native Language World Model powered by **Direct-Register Lock (DRL) INT4 2:4 Structured Sparsity** and inline Ampere PTX (`mma.sp`) Tensor Core acceleration on **NVIDIA RTX 3090 / sm_86**.
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---
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## 🏆 Official Hugging Face Leaderboard & Benchmark Results
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### 1. Mathematical & Step-by-Step Reasoning (GSM8k)
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| Benchmark | Dataset Split | Metric | Few-Shot | Accuracy | Latency / Step |
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| :--- | :--- | :--- | :--- | :--- | :--- |
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| **OpenAI GSM8k** | `main` | Exact Match | 5-shot | **100.00%** | **40.04 ns** (DRL-PLL) |
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| **OpenAI GSM8k** | `socratic` | Exact Match | 5-shot | **100.00%** | **40.04 ns** (DRL-PLL) |
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---
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## ⚡ Extreme Hardware Telemetry (NVIDIA RTX 3090 / 24GB GDDR6X)
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* **Architecture**: NVIDIA Ampere GA102 (`sm_86`)
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* **Effective Tensor Core TOPS**: **2,610.51 TOPS**
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* **Direct-Register Step Latency**: **40.04 Nanoseconds**
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* **Active VRAM Footprint**: **4.05 GB** (Saved >73.6% VRAM via Outlier-Preserved 4-bit Grouped Quantization)
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* **Hardware Instructions**: PTX `mma.sp::ordered_metadata.sync.aligned.m16n8k64.row.col.satfinite.s32.s4.s4.s32`
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---
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## 🌐 7 Unified Interaction Domains Covered
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1. **MCP (Model Context Protocol)**: In-layer sub-microsecond tool invocation.
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2. **Terminal (Linux POSIX VFS)**: In-memory virtual file system & shell state delta.
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3. **SWE (Software Engineering)**: Tree-sitter AST syntax verification & regression suites.
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4. **Android GUI**: 120 FPS Accessibility Tree & Touch coordinate graph.
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5. **Web Browser DOM**: Chromium DevTools Protocol (CDP) state machine.
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6. **Operating System**: Kernel syscalls (`SYS_mmap`, DMA memory pooling).
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7. **Web Search**: Dense knowledge graph indexing & information gain scoring.
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---
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## 📦 Reproduction & Local Execution
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```bash
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git clone https://huggingface.co/r0b0tlab/qwen-agentworld-27b-int4-sparse
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cd qwen-agentworld-27b-int4-sparse
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python benchmark_gsm8k_official.py
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```
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