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The Most-Downloaded Vision Model You Haven't Heard Of Runs Without Python

mudler's locate-anything.cpp-gguf packages NVIDIA's LocateAnything-3B as a C++/ggml engine for open-vocabulary detection and visual grounding with no Python at inference time. Quantizations run from 9.15GB (F16) to 4.72GB (Q4_K), with Q8_0 and Q6_K reported box-identical to full precision and 3.9–5.5× speedups. Downloads rose 55% in a day to 1.42 million.

Sep 19, 8:35 AM · 3 min read

Signal Board

Ternary-Bonsai nearly quadruples again to 1.5 million downloads in its second day

Hugging Face & Ollama 18→19 Sep 2026 · OpenRouter usage as of 18 Sep 2026

  1. Hugging Face +274% in 24h
    prism-ml/Ternary-Bonsai-2-27B-gguf

    1,516,960 downloads

    Second day of heavy growth for the 27B ternary build; likes also up 464 to 1,078.

  2. Hugging Face +55% in 24h
    mudler/locate-anything.cpp-gguf

    1,415,839 downloads

    Open-vocabulary detection in C++/ggml, no Python at inference. Useful for installations that need to see. Written up this round.

  3. Hugging Face +519% in 24h
    transferable-samplers/many-peptides-md

    886,117 downloads

    Molecular-dynamics dataset, the day's largest mover by percentage. Not creative — logged for completeness.

  4. Hugging Face +152% in 24h
    Lichess/standard-chess-games

    352,264 downloads

    A chess game archive tripling in a day usually means someone large started training on it.

  5. OpenRouter +6.1 points week over week
    openai/gpt-5.6-luna-20260709

    11.7% of image-model usage

    Luna's image-side share doubled over the week, mostly at the expense of Gemini 2.5 Flash Lite and GLM-5.3-Flash.

A one-day window, Sep 18 to Sep 19 on Hugging Face and Ollama, with OpenRouter usage as of Sep 18.

PrismML's ternary-quantized 27B model is not a one-day spike. Downloads went up another 274% to 1.52 million and likes rose 464 to 1,078 — its second consecutive day of very heavy growth, and the strongest sustained arrival this board has recorded. The caveats from yesterday stand: the 98.2% retention figure is PrismML's own evaluation, and it needs their llama.cpp fork rather than stock. The other creative signal is quieter and older: locate-anything.cpp, a C++/ggml engine for open-vocabulary object detection that runs with no Python at inference time, is up 55% to 1.42 million. It has been on the Hub since June, so this is adoption rather than release — the same pattern the ComfyUI and GGUF repackagings have been drawing all week.

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