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).