The OpenBMB/MiniCPM-o repository hosts MiniCPM-o 2.6, a cutting-edge multimodal large language model (MLLM) designed for mobile devices, capable of processing images, videos, text, and audio to produce high-quality outputs. The project is managed by the OpenBMB organization and is gaining traction in the open-source community due to its advanced features and efficient deployment capabilities. However, it faces challenges related to deployment and compatibility.
Summary
Quantified Reports
Detailed Reportsrequirements.txt.requirements.txt to fix a typo.Recent activities indicate a focus on improving documentation, enhancing web demos, and addressing minor errors swiftly.
| Timespan | Opened | Closed | Comments | Labeled | Milestones |
|---|---|---|---|---|---|
| 7 Days | 22 | 42 | 46 | 21 | 1 |
| 30 Days | 33 | 46 | 64 | 29 | 1 |
| 90 Days | 84 | 58 | 150 | 69 | 1 |
| All Time | 638 | 559 | - | - | - |
Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.
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| Developer | Avatar | Branches | PRs | Commits | Files | Changes |
|---|---|---|---|---|---|---|
| Tianyu Yu |  |
1 | 0/0/0 | 17 | 127 | 20287 |
| Zhangchi Feng |  |
1 | 2/2/0 | 3 | 7 | 588 |
| YuzaChongyi |  |
1 | 3/3/0 | 13 | 4 | 187 |
| Hongji Zhu |  |
1 | 0/0/0 | 5 | 6 | 83 |
| Cui Junbo |  |
1 | 0/0/0 | 2 | 2 | 8 |
| Alexandra Hotti |  |
1 | 1/1/0 | 1 | 1 | 2 |
| qianyu chen |  |
0 | 0/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
| Risk | Level (1-5) | Rationale |
|---|---|---|
| Delivery | 3 | The project shows a positive trend in resolving issues, with more issues closed than opened in recent periods, indicating a good velocity in addressing problems. However, the presence of 79 open issues and deployment challenges across various platforms suggest potential risks to delivery timelines if not addressed promptly. The limited use of milestones for planning could also impact delivery predictability. |
| Velocity | 3 | The project exhibits strong commit activity, particularly from key contributors like Tianyu Yu, indicating a healthy velocity. However, the prolonged duration of several pull requests and the backlog of open issues suggest potential bottlenecks that could slow down progress. The disparity in commit volumes between developers might also indicate uneven workload distribution, affecting overall velocity. |
| Dependency | 4 | The project relies on external libraries and frameworks, such as Hugging Face and llama.cpp, which pose dependency risks if not maintained or updated. Recent updates to requirements files highlight active management, but the lack of detailed testing documentation for these changes could lead to future maintenance challenges. Issues related to compatibility with frameworks like ollama and vLLM further underscore dependency risks. |
| Team | 3 | The team shows active engagement with ongoing contributions from multiple developers. However, the disparity in commit volumes and the lack of contributions from some team members suggest potential team dynamics issues or uneven workload distribution. Communication challenges are also indicated by user feedback expressing confusion over unresolved problems. |
| Code Quality | 3 | The project demonstrates attention to detail with minor fixes and updates to improve code quality. However, the high volume of changes by some developers without thorough review or testing poses risks to code quality. The presence of unresolved bugs and compatibility issues further indicates areas needing improvement in maintaining high code standards. |
| Technical Debt | 4 | The project's backlog of open issues and prolonged pull requests suggest accumulating technical debt if not addressed promptly. Frequent small updates and fixes indicate ongoing maintenance efforts, but they also highlight potential inefficiencies in initial review processes that could contribute to technical debt over time. |
| Test Coverage | 4 | The lack of detailed testing documentation for recent changes poses significant risks to test coverage. Issues related to deployment challenges and unresolved bugs suggest gaps in testing processes that could lead to undetected errors or regressions. The need for improved documentation and testing is crucial to ensure comprehensive test coverage. |
| Error Handling | 3 | Recent improvements in exception messages indicate efforts to enhance error handling. However, frequent occurrences of similar issues and user feedback on unresolved problems suggest existing error handling mechanisms may be insufficient. Further improvements are needed to ensure robust error reporting and resolution. |
Recent GitHub issue activity for the OpenBMB/MiniCPM-o project indicates a high level of engagement with 79 open issues, many of which were created or updated in the last few days. The issues cover a range of topics, including bug reports, feature requests, and questions about deployment and usage.
Deployment Challenges: Several issues (#726, #718, #714) highlight difficulties in deploying MiniCPM-o 2.6 on various platforms, including mobile devices and specific hardware configurations. Users report challenges with memory usage and compatibility with certain frameworks like ollama and vLLM.
Model Compatibility and Performance: Issues such as #734 and #730 discuss compatibility problems when building or running the model on different systems, particularly concerning dependencies like flash_attn and the need for specific hardware capabilities (e.g., AVX instructions).
Inference and Fine-tuning: A recurring theme is the complexity of fine-tuning the model for specific tasks or datasets (#730, #726). Users express interest in optimizing the model's inference speed and memory usage, especially for mobile deployments.
Multimodal Capabilities: There is significant interest in the model's ability to handle multimodal inputs (#726, #724), with users seeking guidance on leveraging these features effectively. Some issues report unexpected behavior or errors when processing complex input types like videos.
Documentation and Support: Several users request more detailed documentation or examples to aid in deployment and fine-tuning (#714, #715). The need for clearer guidelines on using advanced features like emotion control in speech outputs is evident.
Overall, the issues reflect a community actively engaging with the project's capabilities while seeking solutions to technical challenges related to deployment, compatibility, and performance optimization.
#734: [BUG] OpenBMB/llama.cpp build error and segmentation fault on Mac M3
#732: 记录一下解决minicpm-o-2.6的running的bug
#728: [BUG] 使用MiniCPM-o 2.6 int4模型时，chat.py报错
#734: [BUG] OpenBMB/llama.cpp build error and segmentation fault on Mac M3
#732: 记录一下解决minicpm-o-2.6的running的bug
#728: [BUG] 使用MiniCPM-o 2.6 int4模型时，chat.py报错
These issues highlight ongoing challenges with building and running MiniCPM-o across different environments, as well as efforts to document solutions to common problems encountered by users.
#642: [Fix] Trainer interface error when eval minicpm-v-2.6
trainer.py to ensure data is passed correctly.#579: fix finetune minicpm error
#556: Improve exception messages for better readability and error context
#521: Finetuning feature added for setting vision_lr and resampler_lr
#461 & #460: fix mps rely on flash_atten
#435: docs: add Japanese README
#696: MiniCPM-V 2.6 is supported in PaddleMIX by Paddle Team!
#733, #731, #729 (Closed Today)
#713 (Closed Yesterday): Update requirements.txt
#711 (Closed Yesterday): Best Practice with LLaMA-Factory
The OpenBMB/MiniCPM-o repository shows active development with numerous open pull requests addressing critical functionality improvements and enhancements. However, the extended duration of some open PRs raises concerns about potential delays in resolving key issues that could affect users' ability to leverage new features or fixes efficiently. Recent closures of minor updates demonstrate responsiveness to smaller maintenance tasks but highlight a need for more focus on integrating significant pending changes.
Overall, the source code files demonstrate a high level of organization and clarity. They provide detailed documentation and robust implementations suitable for both development and deployment scenarios.
Hongji Zhu (iceflame89)
Tianyu Yu (yiranyyu)
YuzaChongyi
Zhangchi Feng (BUAADreamer)
Cui Junbo (Cuiunbo)
Alexandra Hotti (alexandrahotti)
requirements.txt.Frequent Documentation Updates: The team has been actively updating documentation files, particularly README.md and README_zh.md, indicating a focus on improving user guidance and project clarity.
Collaboration: There is evidence of collaboration among team members, particularly in merging branches and updating shared resources like the README files.
Focus on Web Demo Improvements: Several commits are related to enhancing the web demo experience, such as fixing permission issues and updating requirements, suggesting an emphasis on making the project more accessible and user-friendly.
Large-scale Updates: The recent update to MiniCPM-o 2.6 involved substantial changes across numerous files, highlighting a major development phase aimed at enhancing the project's capabilities.
Active Maintenance: The high frequency of commits within a short period indicates active maintenance and continuous improvement of the project.
Overall, the development team is engaged in refining documentation, enhancing user experience through web demos, and implementing significant updates to advance the project's capabilities.