mlboydaisuke/M-LSD-tiny-OpenVINO
image-segmentation model by mlboydaisuke
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
M-LSD-tiny for Intel NPUs, GPUs and CPUs: mlsdfp16 from litert-community/M-LSD-tiny-LiteRT as ONNX (tf2onnx 1.17.0, opset 17), OpenVINO IR with fp32 weights, and a precompiled Intel NPU blob. On the NPU of a Core Ultra 9 386H the blob runs in 4.01 ms per run, numpy input to numpy output. Scripts, raw records, and the same table for all 52 graphs of LiteRT-Models: https://github.com/john-rocky/windows-zoo The NPU blob was compiled with OpenVINO 2026.4.1, Intel NPU driver 32.0.100.4841 (OpenVINO reports NPUDRIVERVERSION 1004841, NPUCOMPILERVERSION 524292). If importmodel refuses a blob on another driver or OpenVINO version, compile the IR instead (the commented line in the snippet). MSI Stealth 16 AI+ (Core Ultra 9 386H, RTX 5080 Laptop GPU at a 95 W power limit, Windows 11 build 26200.9711, on AC power), 2026-11-06 to 2026-11-07. On the laptop, each row is one process: load, one run, 5 warmup runs, then the median of 30 timed…
Read the full model card ↗ · Preview checked 2026-11-07T08:42:09.990Z
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Model overview
mlboydaisuke/M-LSD-tiny-OpenVINO is a image-segmentation model repository published by mlboydaisuke on Hugging Face. The source reports the openvino library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-segmentation
- Library
- openvino
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-07T06:30:14.000Z
- Last modified
- 2026-11-07T06:30:17.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: litert-community/M-LSD-tiny-LiteRT
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-07T06:54:27.277Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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