CASE EVIDENCE / A RECORD
the-crypt-keeper (Can AI Code project) 公开的真实任务执行案例，来源为 公开代码库，复核于 2026-06-27T00:35:00Z。
原始记录：Can AI Code: DeepSeek LLM 67B Base Code Generation Evaluation
Chinese Brief
the-crypt-keeper (Can AI Code project) 公开的真实任务执行案例，来源为 公开代码库，复核于 2026-06-27T00:35:00Z。 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：The Can AI Code project (600+ stars), a self-evaluating interview framework for AI coders, evaluated deepseek-ai/deepseek-llm-67b-base for code generation capabilities across multiple programming languages and difficult…
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：The evaluation was completed (issue #119 closed), producing code generation benchmark results for deepseek-llm-67b-base. The model was evaluated alongside other LLMs including DeepSeek Coder variants, CodeLlama, and Mis…
DeepSeek LLM 67B Base 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 LLM 67B Base was the base model under evaluation for its code generation capabilities, tested through the project's automated self-evaluation interview system that scores models on coding tasks.
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：The evaluation results are stored in ndjson files in the results directory. The model was the subject of evaluation rather than being deployed in production.