feat: integrate six traceable benchmarks with unified smoke test#1202
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- Rename read_video_pyav to read_video in load_video.py with backward-compat alias - Delete _resize_image and read_video_pyav_base64 dead functions - Update all 12 caller files to use read_video directly - Inline base64 encoding logic in qwen2_5_omni.py (was read_video_pyav_base64) - Fix missing import in vila.py (latent bug) - Remove use_custom_video_loader dead code from 5 models that declared but never checked it (qwen2_5_vl, qwen3_vl, qwen3_omni, llava_onevision1_5, huggingface)
Add lmms_eval/cli/ package with subcommand-based architecture: eval - run evaluation (wizard mode when no args) tasks - list/groups/subtasks/tags browser models - list backends with optional --aliases ui - launch Web UI serve - start HTTP eval server power - statistical power analysis version - version and environment info tui - terminal UI (textual) Full backward compat: lmms-eval --model X --tasks Y still works. Entrypoint rewired through cli.dispatch:main in pyproject.toml.
Add docs/external_usage.md covering CLI subcommands (tasks, models, eval wizard, ui, serve, power, version) and Python library usage (TaskManager, datasets, evaluator, metrics). Update docs index link. Polish v0.7 release notes for consistency.
Luodian
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Feb 28, 2026
* refactor: remove dead read_video_pyav_pil and deduplicate _resize_image in load_video * refactor: rename read_video_pyav -> read_video, remove dead code - Rename read_video_pyav to read_video in load_video.py with backward-compat alias - Delete _resize_image and read_video_pyav_base64 dead functions - Update all 12 caller files to use read_video directly - Inline base64 encoding logic in qwen2_5_omni.py (was read_video_pyav_base64) - Fix missing import in vila.py (latent bug) - Remove use_custom_video_loader dead code from 5 models that declared but never checked it (qwen2_5_vl, qwen3_vl, qwen3_omni, llava_onevision1_5, huggingface) * docs: rewrite Section 7.1 to document read_video backends, remove dead Section 7.2 * feat: unified CLI with subcommand dispatch and interactive wizard Add lmms_eval/cli/ package with subcommand-based architecture: eval - run evaluation (wizard mode when no args) tasks - list/groups/subtasks/tags browser models - list backends with optional --aliases ui - launch Web UI serve - start HTTP eval server power - statistical power analysis version - version and environment info tui - terminal UI (textual) Full backward compat: lmms-eval --model X --tasks Y still works. Entrypoint rewired through cli.dispatch:main in pyproject.toml. * docs: add external usage guide for CLI and library access Add docs/external_usage.md covering CLI subcommands (tasks, models, eval wizard, ui, serve, power, version) and Python library usage (TaskManager, datasets, evaluator, metrics). Update docs index link. Polish v0.7 release notes for consistency. * feat(tasks): add six benchmark tasks and unified smoke report * fix(smoke): enable audio payloads for openrouter omni runs * fix(smoke): use 1fps video sampling for api smoke runs * fix(multimodal): correct audio routing and video fps sampling * test(cli): add dispatch and task pipeline coverage
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Summary
repcount,countix,ovr_kinetics,ssv2,vggsound,av_asranet_qa,mmmu_a,egosch_avideo_fps=1to increase temporal coverageSmoke Tests (1 FPS)
1) Non-audio tasks with Gemini 3 Flash
2) Audio tasks with OpenRouter omni-capable model
Final Table (smoke)
google/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-3-flash-previewgoogle/gemini-2.5-flashgoogle/gemini-2.5-flash