--- language: - zh - en license: apache-2.0 tags: - moe - code-assistant - gamedev-assistant - llm - quantized - mlx - text-generation - gamedev - roleplay - multi-agent - game-development - unreal-engine - unity pipeline_tag: text-generation library_name: mlx-lm base_model: - Qwen/Qwen3.5-122B-A10B-Instruct base_model_relation: quantized --- # LongShu · Architect-V2.2 A multi-agent collaboration core brain specifically crafted for game development, based on Qwen3.5-122B-A10B-MoE architecture with deep optimization, running smoothly on consumer-grade hardware. github：https://github.com/luoyike2003ls/LongShuGameDev --- ## 🎮 Model Positioning Traditional general-purpose LLMs often suffer from severe "hallucinations" or provide superficial suggestions when facing complex system architectures, deep engine APIs (Unreal/Unity), and state machine logic in real game development scenarios. **LongShu** aims to solve this pain point. Based on the powerful Qwen3.5-122B-A10B-MoE foundation, we've performed deep "surgical" domain-specific fine-tuning to create the core brain of this Multi-Agent System — the **Commander Model (TIANCE)**. It doesn't just understand code; it understands game engineering. It's no longer a chatbot—it's a true "Technical Director + Lead Architect". --- ## 🏗️ REAP Ecosystem LongShu is the central brain of a complete game development agent network: | Role | Codename | Positioning | Core Capabilities | |------|----------|-------------|-------------------| | **Commander** | Tiance | Core brain, logic reasoning hub | Global planning, system decomposition, task dispatch | | Architect | Xuangou | Code architecture expert | Tech structure analysis, architecture optimization, tech debt identification | | Executor | Moxing | Task execution specialist | Coding, debugging, test case generation | | Watcher | Zhuzhao | Monitoring & alerting expert | Log analysis, anomaly detection, risk early warning | | Scholar | Wenyuan | Knowledge management expert | Documentation understanding, knowledge graphs, intelligent retrieval | | Coordinator | Hengshu | Team collaboration expert | Intelligent task allocation, cross-functional coordination | --- ## ⚡ Core Technical Highlights ### Hybrid Attention Architecture - 60-layer network with **3:1 alternating Linear + Full Attention** - Balances lightning-fast linear inference with full attention precision ### Long Context Support (256K) - Native support for **262,144** token context - Can ingest entire project headers, design docs, and API documentation in one shot ### Extreme MoE Sparsity - **105 experts**, only **10 activated** per token - High compute efficiency, inference speed of **~36 tokens/s** (Mac mini M4 Pro 64GB) ### Game Engine-Aware Hybrid Quantization - Core 20 experts: high-precision **IQ4_NL/Q5_K** - Non-core 85 experts: extreme compression **IQ2_XXS** - Massive model size reduction while retaining **98.6%** core reasoning capability --- ## 🎯 Specialized Training Data | Data Type | Scale | Description | |-----------|-------|-------------| | Real Game Projects | 52+ | MMO, FPS, ARPG, Roguelike genres | | Core Source Code | 2.1B+ Tokens | UE (C++), Unity (C#), Godot, Lua hot-reload frameworks | | Engineering Docs | 305K+ Pages | GDDs, system breakdowns, game design logic, performance analysis | | High-Quality Online Data | 10.2B+ | StackOverflow gamedev, GitHub Issues, graphics papers | --- ## 💻 Hardware Requirements | Configuration | Recommendation | |---------------|----------------| | **Mac** | M2/M3/M4 series, 64GB Unified Memory | | **PC** | Dual RTX 3090/4090 (24GB) | | **Format** | llama.cpp IQ3S extreme compression | | **Speed** | ~36 tokens/s (Mac mini M4 Pro) | --- ## 🚀 Use Cases - **Automated Test Case Generation** - Auto-generate test plans based on code logic - **Daily Build Error Diagnosis** - Analyze compile/runtime errors with fix suggestions - **Level Toolchain Dispatch** - Understand design requirements, dispatch executors - **System Architecture Design** - Decompose complex requirements into modular architectures - **Code Review** - Review code quality, identify potential issues --- ## 🎮 Real-World Application > **Sakura Dream Sea (樱梦海)** ([Steam Page](https://store.steampowered.com/app/2181320/)) — An Eastern Fantasy Open-World MMO Adventure The Sakura Dream Sea development team serves as one of the **core pilot users** of the LongShu model, deeply integrating the complete LongShu agent capabilities into their game development pipeline: - Leveraging the **Tiance/Commander Model** for global task planning and module decomposition - Utilizing **Xuangou/Architect** for game system architecture optimization and code review - Accelerating core gameplay development (combat systems, AI behavior trees) through **Moxing/Executor** - Monitoring server performance and anomaly logs with **Zhuzhao/Watcher** This open-world MMO set in the "Eternal Sakura Continent" represents the **best practice validation** of LongShu large models in game industrial production. As you embark on this fantasy continent adorned with falling cherry blossoms, adventuring alongside those "breathing AI companions," it's the LongShu agent network powering the intelligent operation of the entire game world. --- ## 📄 License Apache 2.0 License --- *LongShu · AI-Powered Partner for Game Development*