From 79464cad317c0c3c90a8793fb54d4e4e4cacf846 Mon Sep 17 00:00:00 2001 From: Shanshan Shen <87969357+shen-shanshan@users.noreply.github.com> Date: Fri, 13 Feb 2026 10:08:23 +0800 Subject: [PATCH] Add open-source-engineer-schedule-planning-master skill Signed-off-by: Shanshan Shen <87969357+shen-shanshan@users.noreply.github.com> --- .../README.md | 13 + .../SKILL.md | 97 +++++++ .../assets/template.md | 96 +++++++ .../outputs/schedule.md | 238 ++++++++++++++++++ .../references/reference.md | 238 ++++++++++++++++++ 5 files changed, 682 insertions(+) create mode 100644 skills/upstream/open-source-engineer-schedule-planning-master/README.md create mode 100644 skills/upstream/open-source-engineer-schedule-planning-master/SKILL.md create mode 100644 skills/upstream/open-source-engineer-schedule-planning-master/assets/template.md create mode 100644 skills/upstream/open-source-engineer-schedule-planning-master/outputs/schedule.md create mode 100644 skills/upstream/open-source-engineer-schedule-planning-master/references/reference.md diff --git a/skills/upstream/open-source-engineer-schedule-planning-master/README.md b/skills/upstream/open-source-engineer-schedule-planning-master/README.md new file mode 100644 index 0000000..fc35083 --- /dev/null +++ b/skills/upstream/open-source-engineer-schedule-planning-master/README.md @@ -0,0 +1,13 @@ +# Skill Usage + +``` +/open-source-engineer-schedule-planning-master +I'm an open source engineer, please help me to plan my schedule for the next week. +I want to focus on the vllm-project/vllm and vllm-project/vllm-ascend repositories, especially on multi-modal, structured output and elastic scaling modules. +My GitHub username is shen-shanshan. +I have the following tasks to include in my schedule: +1. Optimize Qwen3-VL performance with priority 1 and a deadline of April 1, 2026. This may last for about 2 weeks. +2. Resolve issues related to multi-modal models, such as VL, Omni, OCR models or directly assigned to me in vllm-ascend with priority 2. +3. Review PRs related to multi-modal models in vllm-ascend with priority 3. +4. Keep up with recent news about large language models and their applications with priority 4. +``` diff --git a/skills/upstream/open-source-engineer-schedule-planning-master/SKILL.md b/skills/upstream/open-source-engineer-schedule-planning-master/SKILL.md new file mode 100644 index 0000000..96ac7ba --- /dev/null +++ b/skills/upstream/open-source-engineer-schedule-planning-master/SKILL.md @@ -0,0 +1,97 @@ +--- +name: open-source-engineer-schedule-planning-master +description: A skill that helps open source engineers plan their schedules effectively, including feature development, PR review, Issue resolution, information acquisition, etc. +--- + +# Open Source Engineer Schedule Planning Master + +## Overview + +This skill is designed to assist open source engineers in planning their schedules effectively. It provides tools and resources for managing feature development, PR review, Issue resolution, information acquisition, and more. By using this skill, engineers can optimize their time and ensure that they are focusing on the most important tasks. + +## When to Use This Skill + +Use this skill when you need to: + +- Plan your daily, weekly, or monthly schedule as an open source engineer. +- Prioritize tasks such as feature development, PR review, and Issue resolution. +- Acquire information and resources related to your projects. +- Stay organized and manage your time effectively. + +## Skill Inputs + +The skill can take various inputs, such as: + +- Specific tasks or projects you want to focus on. +- Timeframes for scheduling (e.g., daily, weekly, monthly). +- Prioritization preferences (e.g., focus on feature development first, then PR review). +- Any specific goals or deadlines you have in mind. + +**Main arguments:** + +1. `timeframe`: The desired scheduling timeframe, e.g., "day", "week" and "month", default is "week". + +2. `projects`: A list of projects or repositories you are working on, e.g., "vllm-project/vllm" and "vllm-project/vllm-ascend", "vllm-project/vllm-omni". + +3. `modules`: A list of modules or areas you own or you want to focus on, e.g., "multi-modal", "structured output" and "elastic scaling". + +4. `your_id`: Your GitHub username or identifier to filter tasks assigned to you. + +5. `tasks`: A list of tasks to be included in the schedule, with prioritization from 1 (highest) to 5 (lowest) and deadline information. Like: [task_name, priority_level, deadline], where deadline can be None if not specified. + +## How to Use This Skill + +1. Fetch recent (last `timeframe` to this moment) PRs and issues with `open` state in these `projects` from GitHub, which are related to these `modules` or are explicitly assigned to `your_id`. Fetch relevant information about these PRs and issues, such as their titles, labels, priority levels (if specified), and deadlines (if specified). You can use GitHub CLI or GitHub API to fetch this information. You can also fetch any other relevant information that may help in scheduling, such as the estimated time required for each task or any dependencies between tasks. + +2. Fetch recent news and updates related to large language models and their applications. This can include new research papers, blog posts, or announcements from relevant organizations. You can use web scraping techniques or APIs from news sources to gather this information. + +3. Analyze the list of `tasks` that you want to include in the schedule. + +3. Prioritize the `tasks` based on their priority levels, deadlines, and estimated time required. + +4. Generate a schedule (Put the schedule in a markdown file and save it to `~/.claude/skills/open-source-engineer-schedule-planning-master/outputs/schedule.md`.) for the specified `timeframe`, ensuring that high-priority tasks are allocated sufficient time and that deadlines are met. The generated schedule should be organized and easy to follow, allowing you to manage your time effectively. The schedule should also include any relevant information or resources needed to complete the tasks. + +5. Take [reference](references/reference.md) as a reference and take [template](./assets/template.md) as a template for the format of the schedule. + +**Rules to obey:** + +1. Don't split the tasks to Morning, Afternoon and Evening, just list the tasks needs to do everday. +2. Offer titles, links, labels and authors for fetched PRs, Issues and recent news (papers or blogs), and briefly summarise their contents. Don't include status, created time and other information. Just focus on the titles, links and summaries. +3. Put similar PRs or issues together. +4. Don't include "Success Metrics", "Next Week Preview" and "Weekly Time Allocation Summary" sections in the schedule. +5. Should include "Task Overview", "Daily Schedule", "Key Focus Areas This Week" and "Important Notes" sections in the schedule. +6. Use some Emojis to make the schedule more visually appealing and easier to read. +7. Summarize potential collaboration opportunities with upstream maintainers or other contributors, if applicable. + +## Example Prompt + +``` +/open-source-engineer-schedule-planning-master +I'm an open source engineer, please help me to plan my schedule for the next week. +I want to focus on the vllm-project/vllm and vllm-project/vllm-ascend repositories, especially on multi-modal, structured output and elastic scaling modules. +My GitHub username is shen-shanshan. +I have the following tasks to include in my schedule: +1. Optimize Qwen3-VL performance with priority 1 and a deadline of April 1, 2026. This may last for about 2 weeks. +2. Resolve issues related to multi-modal models, such as VL, Omni, OCR models or directly assigned to me in vllm-ascend with priority 2. +3. Review PRs related to multi-modal models in vllm-ascend with priority 3. +4. Keep up with recent news about large language models and their applications with priority 4. +``` + +## Requirements + +Take Mac OS as an example, you need to install the following dependencies: + +```bash +# Check if Homebrew is installed. +which brew +# /opt/homebrew/bin/brew + +# Install the GitHub CLI: +brew install gh +# After installation, authenticate with: +gh auth login +``` + +## Author + +[@shen-shanshan](https://github.com/shen-shanshan) diff --git a/skills/upstream/open-source-engineer-schedule-planning-master/assets/template.md b/skills/upstream/open-source-engineer-schedule-planning-master/assets/template.md new file mode 100644 index 0000000..6067a9b --- /dev/null +++ b/skills/upstream/open-source-engineer-schedule-planning-master/assets/template.md @@ -0,0 +1,96 @@ +# Weekly Schedule for Open Source Engineer + +**Week of ... - ...** +**Engineer: ...** +**Focus Repositories: ...** +**Focus Areas: ...** + +--- + +## Task Overview + +### Priority 1: ... + +### Priority 2: ... + +### Priority 3: ... + +### Priority 4: ... + +### Priority 5: ... + +--- + +## Daily Schedule + +### Monday, ... + +1. **Priority 1: ...** + +2. **Priority 2: ...** + +3. **Priority 3: ...** + +### Tuesday, ... + +1. **Priority 1: ...** + +2. **Priority 2: ...** + +3. **Priority 3: ...** + +### Wednesday, ... + +1. **Priority 1: ...** + +2. **Priority 2: ...** + +3. **Priority 3: ...** + +### Thursday, ... + +1. **Priority 1: ...** + +2. **Priority 2: ...** + +3. **Priority 3: ...** + +### Friday, ... + +1. **Priority 1: ...** + +2. **Priority 2: ...** + +3. **Priority 3: ...** + +### Weekend Planning + +--- + +## Key Focus Areas This Week + +### 1. ... (Priority 1) + +### 2. ... (Priority 2) + +### 3. ... (Priority 3) + +### 4. ... (Priority 4) + +### 5. ... (Priority 5) + +--- + +## Important Notes + +### Recent Developments to Monitor + +1. **vLLM Upstream Activity**: ... + +2. **vllm-ascend Specific Issues**: ... + +3. **Others**: ... + +### Collaboration Opportunities + +### Blockers and Risks diff --git a/skills/upstream/open-source-engineer-schedule-planning-master/outputs/schedule.md b/skills/upstream/open-source-engineer-schedule-planning-master/outputs/schedule.md new file mode 100644 index 0000000..97214e3 --- /dev/null +++ b/skills/upstream/open-source-engineer-schedule-planning-master/outputs/schedule.md @@ -0,0 +1,238 @@ +# πŸ“… Weekly Schedule for Open Source Engineer + +**Week of February 12 - February 18, 2026** +**Engineer: shen-shanshan** +**Focus Repositories: vllm-project/vllm, vllm-project/vllm-ascend** +**Focus Areas: Multi-modal, Structured Output, Elastic Scaling** + +--- + +## πŸ“‹ Task Overview + +### Priority 1: πŸš€ Optimize Qwen3-VL Performance +- **Deadline:** April 1, 2026 +- **Duration:** ~2 weeks (Week 1 of 2) +- **Status:** In Progress +- **Description:** Performance optimization work for Qwen3-VL model to improve inference speed and efficiency + +### Priority 2: πŸ› Resolve Multi-modal Issues in vllm-ascend +- **Focus:** VL, Omni, OCR models and issues assigned to you +- **Key Issue Identified:** 1 critical issue assigned to you (#6533) +- **Description:** Address bugs and issues related to multi-modal models in the vllm-ascend repository + +### Priority 3: πŸ” Review Multi-modal PRs in vllm-ascend +- **Focus:** Multi-modal related pull requests +- **Description:** Review and provide feedback on community contributions related to multi-modal models + +### Priority 4: πŸ“° Keep Up with LLM News +- **Focus:** Recent developments in multi-modal models and vLLM ecosystem +- **Description:** Stay informed about latest research, model releases, and industry trends + +--- + +## πŸ“† Daily Schedule + +### Monday, February 12, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Begin Week 1 of performance optimization work + - Set up profiling environment and baseline benchmarks + - Identify performance bottlenecks in inference pipeline + +2. **Priority 2: πŸ› Critical Bug - Qwen3-VL Inference Output Anomaly** + - **[Issue #6533](https://github.com/vllm-project/vllm-ascend/issues/6533)** - ASSIGNED TO YOU ⚠️ + - **Title:** "[Bug]: vllm-ascend:v0.14.0rc1 910B4, Qen3-VL-8B-Instruct ζŽ¨η†θΎ“ε‡ΊεΌ‚εΈΈ" + - **Author:** zhongqing0507 + - **Labels:** bug, module:multimodal + - **Summary:** Qwen3-VL-8B-Instruct produces abnormal inference output with repetitive text on vllm-ascend v0.14.0rc1 with 910B4 hardware. The model outputs repetitive fragments like "δ½ ε₯½οΌŒοΌŒοΌŒζˆ‘ζ˜―δΈ€δΈͺAIοΌŒζˆ‘ε«QwenοΌŒζˆ‘ζ˜―QwenοΌŒοΌŒζˆ‘ε«οΌŒζˆ‘οΌŒζˆ‘ζ˜―..." instead of coherent responses. + - **Action:** Investigate root cause, reproduce the issue, and develop a fix + +3. **Priority 3: πŸ” Review Upstream Multi-modal PRs** + - **[PR #34398](https://github.com/vllm-project/vllm/pull/34398)** - Add COLQwen3 code & Inference + - **Author:** craftsangjae (Kata Coder) + - **Labels:** documentation, new-model, multi-modality, qwen + - **Summary:** Adds native support for ColQwen3 multi-modal late interaction models in vLLM. ColQwen3 extends Qwen3-VL with a linear projection head for per-token L2-normalized embeddings, enabling MaxSim late interaction scoring for document retrieval and reranking across text and image inputs. Supports TomoroAI and OpenSearch-AI model families. + - **Action:** Review implementation, test examples, and provide feedback + +### Tuesday, February 13, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Analyze profiling results from Monday + - Implement initial optimization strategies (memory management, kernel optimization) + - Run preliminary benchmark tests + +2. **Priority 2: πŸ› Continue Work on Issue #6533** + - Test potential fixes for the inference output anomaly + - Validate fix across different hardware configurations + - Prepare patch for review + +3. **Priority 3: πŸ” Review Multi-modal Bugfix PR** + - **[PR #34358](https://github.com/vllm-project/vllm/pull/34358)** - Standardize getting number of image patches/tokens + - **Author:** DarkLight1337 (Cyrus Leung) + - **Labels:** bug, ready, multi-modality + - **Summary:** Bugfix that considers `mm_kwargs` when determining number of image tokens, disallows passing `processor=None` to simplify code, and fixes Idefics3 and SmolVLM tests not passing `mm_kwargs` to reference processor call. + - **Action:** Review changes and verify test coverage + +### Wednesday, February 14, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Evaluate benchmark results from Tuesday + - Fine-tune optimization parameters + - Document performance improvements and findings + +2. **Priority 2: πŸ› Submit Fix for Issue #6533** + - Create PR with fix for Qwen3-VL inference output anomaly + - Write comprehensive test cases + - Update documentation if needed + +3. **Priority 4: πŸ“° LLM News and Research** + - Review recent papers on multi-modal model optimization + - Check for new model releases (DeepSeek-OCR-2, Phi-4-multimodal updates) + - Monitor vLLM community discussions and feature requests + +### Thursday, February 15, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Implement advanced optimization techniques based on Wednesday's analysis + - Test optimization across different model sizes (8B, 32B variants) + - Prepare mid-week progress report + +2. **Priority 3: πŸ” Review Whisper Multi-modal Enhancement** + - **[PR #34366](https://github.com/vllm-project/vllm/pull/34366)** - Add language detection feature to Whisper + - **Author:** warichet + - **Labels:** performance, multi-modality, and others + - **Summary:** Introduces automatic language detection for Whisper model. When language field is not specified, the model automatically detects the language of audio input using the `<|startoftranscript|>` token in decoder prompt. Defaults to English if detection fails. + - **Action:** Review implementation and test with various audio inputs + +3. **Priority 3: πŸ” Review Additional Multi-modal PR** + - **[PR #34342](https://github.com/vllm-project/vllm/pull/34342)** - Add automatic language detection for Whisper transcription + - **Author:** spacecheck (Roman) + - **Labels:** frontend, multi-modality + - **Summary:** Frontend implementation for automatic language detection in Whisper transcription + - **Action:** Review frontend integration and API changes + +### Friday, February 16, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Finalize Week 1 optimization work + - Run comprehensive benchmark suite + - Prepare detailed progress report with performance metrics + - Plan Week 2 optimization targets + +2. **Priority 2: πŸ› Address PR Feedback for Issue #6533** + - Respond to review comments on your PR + - Make necessary adjustments + - Coordinate with maintainers for merge timeline + +3. **Priority 3: πŸ” Review Whisper Test Fix** + - **[PR #34324](https://github.com/vllm-project/vllm/pull/34324)** - Fixed whisper CPU test that does not spawn properly + - **Author:** almayne + - **Labels:** multi-modality + - **Summary:** Fixes Whisper CPU test spawning issues + - **Action:** Quick review and approval if tests pass + +4. **Priority 4: πŸ“° Weekly LLM News Summary** + - Compile weekly summary of important LLM developments + - Focus on multi-modal model advancements and vLLM ecosystem updates + - Share insights with team + +### Weekend Planning (February 17-18, 2026) + +- Review week's accomplishments and lessons learned +- Plan detailed tasks for Week 2 of Qwen3-VL optimization +- Prepare for upcoming multi-modal model support requests +- Optional: Explore new multi-modal architectures and techniques + +--- + +## 🎯 Key Focus Areas This Week + +### 1. πŸš€ Qwen3-VL Performance Optimization (Priority 1) +This is your primary focus for the week. Allocate approximately **50-60%** of your time to this task. Key activities include: +- Performance profiling and bottleneck identification +- Implementation of optimization strategies (memory management, kernel optimization, batching improvements) +- Benchmark testing and validation across different model sizes +- Documentation of findings and performance improvements +- Preparation for Week 2 optimization work + +**Expected Outcome:** Measurable performance improvements with detailed metrics and clear plan for Week 2. + +### 2. πŸ› Critical Bug Resolution (Priority 2) +Focus on the issue assigned to you (#6533) - Qwen3-VL inference output anomaly: +- **Issue #6533:** Qwen3-VL-8B-Instruct produces repetitive, incoherent output on vllm-ascend v0.14.0rc1 with 910B4 hardware +- This is a critical bug affecting production deployments +- Requires investigation, fix development, testing, and PR submission + +**Expected Outcome:** Root cause identified, fix implemented and submitted as PR with comprehensive tests. + +### 3. πŸ” Multi-modal PR Reviews (Priority 3) +Review and provide feedback on community contributions related to multi-modal models: +- **ColQwen3 Support (PR #34398):** New model integration for late interaction retrieval +- **Image Token Standardization (PR #34358):** Bugfix for multi-modal processing +- **Whisper Language Detection (PR #34366, #34342):** Audio model enhancement +- **Whisper Test Fix (PR #34324):** CI/test improvement +- **Voxtral Test Refactoring (PR #34294):** Test infrastructure improvement + +**Expected Outcome:** Provide constructive feedback on at least 3-4 PRs, helping maintainers make merge decisions. + +### 4. πŸ“° LLM Ecosystem Awareness (Priority 4) +Stay informed about latest developments in multi-modal models and vLLM ecosystem: +- Monitor new model releases (DeepSeek-OCR-2, Phi-4-multimodal, Step3-VL, etc.) +- Review recent research papers on multi-modal optimization +- Track vLLM community discussions and feature requests +- Identify potential collaboration opportunities + +**Expected Outcome:** Weekly summary of key developments and insights to share with team. + +--- + +## πŸ“ Important Notes + +### Recent Developments to Monitor + +1. **πŸ”₯ vLLM Upstream Activity:** + - Significant activity around Qwen3-VL improvements and new model integrations + - ColQwen3 support being added for late interaction retrieval use cases + - Whisper model enhancements with automatic language detection + - Multi-modal processing standardization efforts (image token handling) + - Active development on audio models (Whisper, Voxtral) + +2. **⚠️ vllm-ascend Specific Issues:** + - **Critical:** Issue #6533 assigned to you requires immediate attention + - Multiple Qwen3-VL related bugs reported in the past week + - Hardware-specific issues on 910B4 platform need investigation + - Performance optimization opportunities identified + +3. **πŸ†• New Multi-modal Models:** + - **ColQwen3:** Late interaction retrieval model extending Qwen3-VL + - **DeepSeek-OCR-2:** OCR capabilities (support requested) + - **Phi-4-multimodal:** Vision-Language model (support requested) + - **Step3-VL-10B:** Vision-Language model (support requested) + +### Collaboration Opportunities + +- **Upstream vLLM Maintainers:** Share findings from Qwen3-VL optimization work, especially performance improvements that could benefit upstream +- **DarkLight1337 (Cyrus Leung):** Collaborate on multi-modal processing standardization (PR #34358) +- **craftsangjae:** Provide feedback on ColQwen3 implementation (PR #34398) +- **Community Contributors:** Help review and test Whisper enhancements and other multi-modal PRs +- **vllm-ascend Team:** Coordinate on hardware-specific optimizations and bug fixes + +### Blockers and Risks + +- ⚠️ **Issue #6533 is critical** and assigned to you - requires immediate attention to unblock users +- ⚠️ **Multiple Qwen3-VL bugs** may indicate systemic issues requiring deeper investigation beyond individual fixes +- ⚠️ **Hardware-specific issues (910B4)** may require access to specific hardware for debugging +- ⚠️ **Performance optimization deadline (April 1)** requires steady progress - Week 1 is crucial for establishing baseline and approach +- ⚠️ **New model support requests** may require significant testing and validation effort - prioritize based on community demand + +### Success Metrics for This Week + +βœ… **Complete Week 1 of Qwen3-VL optimization** with measurable performance improvements (target: 10-20% improvement in inference speed) +βœ… **Resolve or make significant progress on issue #6533** with PR submitted for review +βœ… **Review and provide feedback on at least 3-4 multi-modal PRs** to support community contributions +βœ… **Triage and prioritize new multi-modal model support requests** based on community needs +βœ… **Compile weekly LLM news summary** to share with team + +--- + +**Note:** This schedule is flexible and should be adjusted based on urgent issues, stakeholder priorities, and progress on the Qwen3-VL optimization work. Stay agile and communicate proactively with maintainers and stakeholders about any blockers or changes in priorities. πŸš€ diff --git a/skills/upstream/open-source-engineer-schedule-planning-master/references/reference.md b/skills/upstream/open-source-engineer-schedule-planning-master/references/reference.md new file mode 100644 index 0000000..97214e3 --- /dev/null +++ b/skills/upstream/open-source-engineer-schedule-planning-master/references/reference.md @@ -0,0 +1,238 @@ +# πŸ“… Weekly Schedule for Open Source Engineer + +**Week of February 12 - February 18, 2026** +**Engineer: shen-shanshan** +**Focus Repositories: vllm-project/vllm, vllm-project/vllm-ascend** +**Focus Areas: Multi-modal, Structured Output, Elastic Scaling** + +--- + +## πŸ“‹ Task Overview + +### Priority 1: πŸš€ Optimize Qwen3-VL Performance +- **Deadline:** April 1, 2026 +- **Duration:** ~2 weeks (Week 1 of 2) +- **Status:** In Progress +- **Description:** Performance optimization work for Qwen3-VL model to improve inference speed and efficiency + +### Priority 2: πŸ› Resolve Multi-modal Issues in vllm-ascend +- **Focus:** VL, Omni, OCR models and issues assigned to you +- **Key Issue Identified:** 1 critical issue assigned to you (#6533) +- **Description:** Address bugs and issues related to multi-modal models in the vllm-ascend repository + +### Priority 3: πŸ” Review Multi-modal PRs in vllm-ascend +- **Focus:** Multi-modal related pull requests +- **Description:** Review and provide feedback on community contributions related to multi-modal models + +### Priority 4: πŸ“° Keep Up with LLM News +- **Focus:** Recent developments in multi-modal models and vLLM ecosystem +- **Description:** Stay informed about latest research, model releases, and industry trends + +--- + +## πŸ“† Daily Schedule + +### Monday, February 12, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Begin Week 1 of performance optimization work + - Set up profiling environment and baseline benchmarks + - Identify performance bottlenecks in inference pipeline + +2. **Priority 2: πŸ› Critical Bug - Qwen3-VL Inference Output Anomaly** + - **[Issue #6533](https://github.com/vllm-project/vllm-ascend/issues/6533)** - ASSIGNED TO YOU ⚠️ + - **Title:** "[Bug]: vllm-ascend:v0.14.0rc1 910B4, Qen3-VL-8B-Instruct ζŽ¨η†θΎ“ε‡ΊεΌ‚εΈΈ" + - **Author:** zhongqing0507 + - **Labels:** bug, module:multimodal + - **Summary:** Qwen3-VL-8B-Instruct produces abnormal inference output with repetitive text on vllm-ascend v0.14.0rc1 with 910B4 hardware. The model outputs repetitive fragments like "δ½ ε₯½οΌŒοΌŒοΌŒζˆ‘ζ˜―δΈ€δΈͺAIοΌŒζˆ‘ε«QwenοΌŒζˆ‘ζ˜―QwenοΌŒοΌŒζˆ‘ε«οΌŒζˆ‘οΌŒζˆ‘ζ˜―..." instead of coherent responses. + - **Action:** Investigate root cause, reproduce the issue, and develop a fix + +3. **Priority 3: πŸ” Review Upstream Multi-modal PRs** + - **[PR #34398](https://github.com/vllm-project/vllm/pull/34398)** - Add COLQwen3 code & Inference + - **Author:** craftsangjae (Kata Coder) + - **Labels:** documentation, new-model, multi-modality, qwen + - **Summary:** Adds native support for ColQwen3 multi-modal late interaction models in vLLM. ColQwen3 extends Qwen3-VL with a linear projection head for per-token L2-normalized embeddings, enabling MaxSim late interaction scoring for document retrieval and reranking across text and image inputs. Supports TomoroAI and OpenSearch-AI model families. + - **Action:** Review implementation, test examples, and provide feedback + +### Tuesday, February 13, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Analyze profiling results from Monday + - Implement initial optimization strategies (memory management, kernel optimization) + - Run preliminary benchmark tests + +2. **Priority 2: πŸ› Continue Work on Issue #6533** + - Test potential fixes for the inference output anomaly + - Validate fix across different hardware configurations + - Prepare patch for review + +3. **Priority 3: πŸ” Review Multi-modal Bugfix PR** + - **[PR #34358](https://github.com/vllm-project/vllm/pull/34358)** - Standardize getting number of image patches/tokens + - **Author:** DarkLight1337 (Cyrus Leung) + - **Labels:** bug, ready, multi-modality + - **Summary:** Bugfix that considers `mm_kwargs` when determining number of image tokens, disallows passing `processor=None` to simplify code, and fixes Idefics3 and SmolVLM tests not passing `mm_kwargs` to reference processor call. + - **Action:** Review changes and verify test coverage + +### Wednesday, February 14, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Evaluate benchmark results from Tuesday + - Fine-tune optimization parameters + - Document performance improvements and findings + +2. **Priority 2: πŸ› Submit Fix for Issue #6533** + - Create PR with fix for Qwen3-VL inference output anomaly + - Write comprehensive test cases + - Update documentation if needed + +3. **Priority 4: πŸ“° LLM News and Research** + - Review recent papers on multi-modal model optimization + - Check for new model releases (DeepSeek-OCR-2, Phi-4-multimodal updates) + - Monitor vLLM community discussions and feature requests + +### Thursday, February 15, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Implement advanced optimization techniques based on Wednesday's analysis + - Test optimization across different model sizes (8B, 32B variants) + - Prepare mid-week progress report + +2. **Priority 3: πŸ” Review Whisper Multi-modal Enhancement** + - **[PR #34366](https://github.com/vllm-project/vllm/pull/34366)** - Add language detection feature to Whisper + - **Author:** warichet + - **Labels:** performance, multi-modality, and others + - **Summary:** Introduces automatic language detection for Whisper model. When language field is not specified, the model automatically detects the language of audio input using the `<|startoftranscript|>` token in decoder prompt. Defaults to English if detection fails. + - **Action:** Review implementation and test with various audio inputs + +3. **Priority 3: πŸ” Review Additional Multi-modal PR** + - **[PR #34342](https://github.com/vllm-project/vllm/pull/34342)** - Add automatic language detection for Whisper transcription + - **Author:** spacecheck (Roman) + - **Labels:** frontend, multi-modality + - **Summary:** Frontend implementation for automatic language detection in Whisper transcription + - **Action:** Review frontend integration and API changes + +### Friday, February 16, 2026 + +1. **Priority 1: πŸš€ Qwen3-VL Performance Optimization** + - Finalize Week 1 optimization work + - Run comprehensive benchmark suite + - Prepare detailed progress report with performance metrics + - Plan Week 2 optimization targets + +2. **Priority 2: πŸ› Address PR Feedback for Issue #6533** + - Respond to review comments on your PR + - Make necessary adjustments + - Coordinate with maintainers for merge timeline + +3. **Priority 3: πŸ” Review Whisper Test Fix** + - **[PR #34324](https://github.com/vllm-project/vllm/pull/34324)** - Fixed whisper CPU test that does not spawn properly + - **Author:** almayne + - **Labels:** multi-modality + - **Summary:** Fixes Whisper CPU test spawning issues + - **Action:** Quick review and approval if tests pass + +4. **Priority 4: πŸ“° Weekly LLM News Summary** + - Compile weekly summary of important LLM developments + - Focus on multi-modal model advancements and vLLM ecosystem updates + - Share insights with team + +### Weekend Planning (February 17-18, 2026) + +- Review week's accomplishments and lessons learned +- Plan detailed tasks for Week 2 of Qwen3-VL optimization +- Prepare for upcoming multi-modal model support requests +- Optional: Explore new multi-modal architectures and techniques + +--- + +## 🎯 Key Focus Areas This Week + +### 1. πŸš€ Qwen3-VL Performance Optimization (Priority 1) +This is your primary focus for the week. Allocate approximately **50-60%** of your time to this task. Key activities include: +- Performance profiling and bottleneck identification +- Implementation of optimization strategies (memory management, kernel optimization, batching improvements) +- Benchmark testing and validation across different model sizes +- Documentation of findings and performance improvements +- Preparation for Week 2 optimization work + +**Expected Outcome:** Measurable performance improvements with detailed metrics and clear plan for Week 2. + +### 2. πŸ› Critical Bug Resolution (Priority 2) +Focus on the issue assigned to you (#6533) - Qwen3-VL inference output anomaly: +- **Issue #6533:** Qwen3-VL-8B-Instruct produces repetitive, incoherent output on vllm-ascend v0.14.0rc1 with 910B4 hardware +- This is a critical bug affecting production deployments +- Requires investigation, fix development, testing, and PR submission + +**Expected Outcome:** Root cause identified, fix implemented and submitted as PR with comprehensive tests. + +### 3. πŸ” Multi-modal PR Reviews (Priority 3) +Review and provide feedback on community contributions related to multi-modal models: +- **ColQwen3 Support (PR #34398):** New model integration for late interaction retrieval +- **Image Token Standardization (PR #34358):** Bugfix for multi-modal processing +- **Whisper Language Detection (PR #34366, #34342):** Audio model enhancement +- **Whisper Test Fix (PR #34324):** CI/test improvement +- **Voxtral Test Refactoring (PR #34294):** Test infrastructure improvement + +**Expected Outcome:** Provide constructive feedback on at least 3-4 PRs, helping maintainers make merge decisions. + +### 4. πŸ“° LLM Ecosystem Awareness (Priority 4) +Stay informed about latest developments in multi-modal models and vLLM ecosystem: +- Monitor new model releases (DeepSeek-OCR-2, Phi-4-multimodal, Step3-VL, etc.) +- Review recent research papers on multi-modal optimization +- Track vLLM community discussions and feature requests +- Identify potential collaboration opportunities + +**Expected Outcome:** Weekly summary of key developments and insights to share with team. + +--- + +## πŸ“ Important Notes + +### Recent Developments to Monitor + +1. **πŸ”₯ vLLM Upstream Activity:** + - Significant activity around Qwen3-VL improvements and new model integrations + - ColQwen3 support being added for late interaction retrieval use cases + - Whisper model enhancements with automatic language detection + - Multi-modal processing standardization efforts (image token handling) + - Active development on audio models (Whisper, Voxtral) + +2. **⚠️ vllm-ascend Specific Issues:** + - **Critical:** Issue #6533 assigned to you requires immediate attention + - Multiple Qwen3-VL related bugs reported in the past week + - Hardware-specific issues on 910B4 platform need investigation + - Performance optimization opportunities identified + +3. **πŸ†• New Multi-modal Models:** + - **ColQwen3:** Late interaction retrieval model extending Qwen3-VL + - **DeepSeek-OCR-2:** OCR capabilities (support requested) + - **Phi-4-multimodal:** Vision-Language model (support requested) + - **Step3-VL-10B:** Vision-Language model (support requested) + +### Collaboration Opportunities + +- **Upstream vLLM Maintainers:** Share findings from Qwen3-VL optimization work, especially performance improvements that could benefit upstream +- **DarkLight1337 (Cyrus Leung):** Collaborate on multi-modal processing standardization (PR #34358) +- **craftsangjae:** Provide feedback on ColQwen3 implementation (PR #34398) +- **Community Contributors:** Help review and test Whisper enhancements and other multi-modal PRs +- **vllm-ascend Team:** Coordinate on hardware-specific optimizations and bug fixes + +### Blockers and Risks + +- ⚠️ **Issue #6533 is critical** and assigned to you - requires immediate attention to unblock users +- ⚠️ **Multiple Qwen3-VL bugs** may indicate systemic issues requiring deeper investigation beyond individual fixes +- ⚠️ **Hardware-specific issues (910B4)** may require access to specific hardware for debugging +- ⚠️ **Performance optimization deadline (April 1)** requires steady progress - Week 1 is crucial for establishing baseline and approach +- ⚠️ **New model support requests** may require significant testing and validation effort - prioritize based on community demand + +### Success Metrics for This Week + +βœ… **Complete Week 1 of Qwen3-VL optimization** with measurable performance improvements (target: 10-20% improvement in inference speed) +βœ… **Resolve or make significant progress on issue #6533** with PR submitted for review +βœ… **Review and provide feedback on at least 3-4 multi-modal PRs** to support community contributions +βœ… **Triage and prioritize new multi-modal model support requests** based on community needs +βœ… **Compile weekly LLM news summary** to share with team + +--- + +**Note:** This schedule is flexible and should be adjusted based on urgent issues, stakeholder priorities, and progress on the Qwen3-VL optimization work. Stay agile and communicate proactively with maintainers and stakeholders about any blockers or changes in priorities. πŸš€