I contribute to inference runtimes and agent tooling, focusing on multimodal generation, LoRA correctness, and agent memory.
我关注 Agent 工程与模型推理优化,通过上游 PR 贡献模型接入、推理优化和运行时修复。
Merged PRs · Open PRs · Agent projects · All upstream PRs ↗
| Project | Contribution | PR |
|---|---|---|
| vLLM | [LoRA] Keep failed activations retryable | #61618 |
| Sana | [Sol-H3] Support custom resident text encoders | #505 |
| vLLM-Omni | Preserve CUDA toolkit header precedence in a2a JIT builds | #7599 |
| FastVideo | Import MiniMax H3 Comfy NVFP4-AWQ text encoder | #1865 |
Selected open, non-draft proposals. Titles and status sync from GitHub daily.
| Project | Proposed change | PR |
|---|---|---|
| vLLM-Omni | Fuse H3 final affine and FP32 promotion | #8677 |
| vLLM-Omni | Load Alibaba PDD adapters for MiniMax H3 | #7425 |
| vLLM | [Frontend] Reject unsupported nested Anthropic tool-result content | #63404 |
| SGLang | anthropic: forward inline MP4 user content to Chat | #46119 |
| SGLang | anthropic: reject unsupported nested tool-result blocks | #46118 |
| huggingface/diffusers | [MiniMax-H3] Postprocess decoded video in frame batches | #15070 |
| huggingface/diffusers | [MiniMax-H3] Reuse Ulysses shard lengths across transformer blocks | #15064 |
| vLLM | [LoRA] Account for CLIP CLS rows in LLaVA tower mappings | #61799 |
Automatic PR sync · Daily at 08:17 Beijing time.
| Project | What it does |
|---|---|
| repository-memory | Source-backed memory for coding agents, with Git citations, a local store, CLI, and MCP server. |
| dsh-ops-kit | Evidence-driven memory, orchestration, benchmark checks, and release workflows for DeepSeek Harness. |
| dsh-session-search-pro | Search past and live DeepSeek Harness sessions through the runtime's own session service. |
| review-workflow | Structured review with independent panelists, disagreement resolution, and a separate critic. |
Also exploring coding-agent evaluation and verifiable distributed inference.
Tools I use: Python · TypeScript / JavaScript · PyTorch · MCP · FastAPI · Docker
Based in Beijing · WeChat: yaole516


