CASE EVIDENCE / A RECORD
Raullen Chai (Rapid-MLX project) 公开的真实任务执行案例，来源为 公开代码库，复核于 2026-06-27T01:40:00Z。
原始记录：Rapid-MLX: Fastest Apple Silicon Local AI Engine with DeepSeek-Coder-V2-Lite Backend
Chinese Brief
Raullen Chai (Rapid-MLX project) 公开的真实任务执行案例，来源为 公开代码库，复核于 2026-06-27T01:40:00Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。 Model Atlas 不把 benchmark、教程、发布说明或集合页包装成真实案例。
任务
这是一个围绕真实任务执行的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：Rapid-MLX is a local AI inference engine for Apple Silicon (3,106+ stars) that supports DeepSeek-Coder-V2-Lite-16B in 4-bit quantized form as one of its featured model backends. The engine provides 4.2x faster inference…
公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：A high-performance local inference engine enabling developers to run DeepSeek-Coder-V2-Lite on Apple Silicon hardware with optimized MLX backend, achieving significantly faster inference than Ollama while supporting the…
DeepSeek-Coder-V2-Lite-16B-4bit 在该案例中承担真实任务执行相关的生成、分析、编排或实现角色。 原始资料写作：DeepSeek-Coder-V2-Lite-16B-4bit is explicitly listed in Rapid-MLX's supported model table as one of the featured models, paired with DeepSeek-R1 and V4 Flash. The model's efficient MoE architecture (2.4B active paramete…
当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Rapid-MLX supports many models; DCV2-Lite is one of several featured. Star count from search results. The model is 4-bit quantized variant.