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- 扩大模型名称检测范围,匹配所有 deepseek 模型(V4、R1 等) - 始终保留 thinking blocks 为 reasoning_content 回传给 API - 移除有 bug 的 turn boundary 剥离逻辑 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
555 B
555 B
Learner Profile
Updated: 2026-04-24
Style
- Learns best with: Analogies (Memory page <-> Capsule hotel), Concrete trade-offs (Latency vs Throughput)
- Strength: Strong logical intuition regarding memory constraints.
- Pace: Fast. Grasped PagedAttention/TP concepts quickly from first principles.
Patterns
- Tends to focus on memory usage ("is it OOM?"), which is a good instinct for inference tuning.
- Needs precision on API flags (e.g.,
--tensor-parallel-size).
Topics
- vLLM Inference Optimization (10/10 concepts mastered, 2026-04-24)