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vlm_3d_tracking_annotator_opensource_checkpoints
LeiGong/vlm_3d_tracking_annotator_opensource_checkpoints
vlm_3d_tracking_annotator_opensource_checkpoints is a image-text-to-text model from LeiGong. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Mirror of the open-source vision-language checkpoints evaluated in the opensourcevlmtest pipeline of https://github.com/XuweiyiChen/vlm3dtrackingannotator (branch lei/open-source-vlm-eval). Each folder is a byte-for-b…
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Updated Sep 22, 2026
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At a glance
- Task
- Image-Text-to-Text
- License
- other
- Access
- Public
- Created
- Sep 18, 2026
- Updated
- Sep 22, 2026
- SHA
- e1d81944
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Model card
From the Hugging Face model README
vlm_3d_tracking_annotator_opensource_checkpoints
Mirror of the open-source vision-language checkpoints evaluated in the open_source_vlm_test pipeline of https://github.com/XuweiyiChen/vlm_3d_tracking_annotator (branch lei/open-source-vlm-eval).
Each folder is a byte-for-byte copy of one upstream Hugging Face snapshot at the commit we evaluated (or, for folders marked planned, the commit we intend to evaluate), including its LICENSE / terms files; the original licences apply unchanged. Upstream repos remain the canonical source; this mirror exists so the evaluated revisions stay available.
| folder | upstream repo | upstream commit | size | status |
|---|---|---|---|---|
Qwen--Qwen3.5-0.8B/ | Qwen/Qwen3.5-0.8B | 2fc06364715b | 1.6 GB | evaluated |
Qwen--Qwen3.5-27B-FP8/ | Qwen/Qwen3.5-27B-FP8 | 97f5941bf617 | 28.8 GB | evaluated |
Qwen--Qwen3.5-2B/ | Qwen/Qwen3.5-2B | 15852e8c1636 | 4.3 GB | evaluated |
Qwen--Qwen3.5-4B/ | Qwen/Qwen3.5-4B | 851bf6e806ef | 8.7 GB | evaluated |
Qwen--Qwen3.5-9B/ | Qwen/Qwen3.5-9B | c20223623576 | 18.0 GB | evaluated |
Qwen--Qwen3.8-27B-FP8/ | Qwen/Qwen3.8-27B-FP8 | 017b9c7af6b5 | 28.8 GB | evaluated |
RedHatAI--gemma-4-31B-it-FP8-dynamic/ | RedHatAI/gemma-4-31B-it-FP8-dynamic | d4ab4f579dd3 | 31.0 GB | evaluated |
allenai--Molmo2-VideoPoint-4B/ | allenai/Molmo2-VideoPoint-4B | 7deb981c9a8a | 18.1 GB | planned, not yet evaluated: Molmo2 architecture is served by vLLM 0.29 (trust_remote_code); fits one 48 GB GPU |
allenai--MolmoPoint-8B/ | allenai/MolmoPoint-8B | 188130f961c8 | 32.4 GB | evaluated |
google--gemma-4-31B-it/ | google/gemma-4-31B-it | 842da3794eaa | 58.3 GB | planned, not yet evaluated: bf16 original of the evaluated FP8-dynamic mirror above, kept for precision A/B checks; 62 GB of bf16 weights need one 80 GB+ GPU |
meta-models--Muse-Glimmer-30B/ | meta-models/Muse-Glimmer-30B | a4e59da52a7b | 55.5 GB | planned, not yet evaluated: image-text-to-text, MuseGlimmerForConditionalGeneration is served by vLLM 0.29; 60 GB of bf16 weights need two 48 GB GPUs |
thinkingmachines--Inkling-Small/ | thinkingmachines/Inkling-Small | 8cc5877b44d3 | 495.4 GB | planned, not yet evaluated: InklingForConditionalGeneration is listed by vLLM 0.29; 495 GB of weights need tensor parallel over >= 4 x 180 GB GPUs |
zai-org--GLM-5.3-Flash/ | zai-org/GLM-5.3-Flash | eb9eb208eb0d | 305.8 GB | planned, not yet evaluated: needs a vLLM release with the Glm5Next architecture and >= 4 x 80 GB Hopper GPUs (306 GB of FP8 weights) |
Load one folder with huggingface_hub.snapshot_download(repo_id, allow_patterns=['<folder>/*']) or point vllm serve / transformers at the local sub-directory.
See MIRROR_MANIFEST.json for the full record (file counts, mirror commits).
- Task
- Image-Text-to-Text
- License
- other
- Created
- Sep 18, 2026
- Updated
- Sep 22, 2026