]633;E;echo "=== 3. hparams as seen by the C++ loader"\x3b timeout 60./build-vis/difftokenizer /tmp/hfverify/sam3-q40.gguf /tmp/tokdiff 2>&1 | grep -E "memselection|maxcond|maxobj";a7ba6c53-87c6-427f-92bf-6a5106a2fee1 ]633;C # github: https://github.com/Asher-1/sam3-ggml This directory holds ready-to-run GGUF models for sam3.cpp. Each file name encodes three things: All checkpoints listed in this README are published as ready-to-run GGUF files on Hugging Face — no PyTorch weights or conversion step needed: The repo mirrors this directory 1:1 (40 files, ~14 GB total). (huggingface-cli comes from pip install huggingfacehub.) Sizes below are the actual.gguf files in this directory. Latency is…
Independent publisher
Asher
Asher-1
Models in Library3
Datasets in Library0
Models on Hugging Face9
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Published tasks: Image and text to text.
Reported licenses: apache-2.0, other. Open a record to review its specific license and conditions.
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Models
Nine downstream conversions of the three official RelateAnything models run with native C++17/GGML on CPU, CUDA and Vulkan. The graph implements DINOv3, box prompt, spatial pool, pair sampler, relation transformer, deformable read, interaction and the dynamic vocabulary head, including calibrated triplets. C++ inference needs no PyTorch, Python model execution or cuDNN. All tensors have passed the declared storage conversion check. The full released vocabulary and calibration match the official full-vocabulary Python API. Execution provenance is verified; strict numerical equality, speed superiority for every configuration, and all six-axis metrics remain unmet. See alignment status. The…