CoolFace
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omlx

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Models

All models matching “omlx”
drowzeys /keys-Mac-oMLX-0.7.0.dev2-DeepSeek-V4.1-Flash-oQ3e-2b27-CED-MTPtext-generationmlx0 likes1.4k downloads9d agoHugging Facepixelkaiser /Huihui-ThinkingCap-Qwen3.6-27B-abliterated-MLX-4bit-oMLX-MTPimage-text-to-textmlx4 likes701 downloads2mo agoHugging Facedrowzeys /keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-Abliterated-oQ4gatedimage-text-to-textmlxoq0 likes130 downloads25d agoHugging Facereturnus15 /omlXewT50 likes7mo agoHugging FaceVyachesss /omlx-modelfile-rce-pocgated1 likes3mo agoHugging Facedrowzeys /keys-Mac-oMLX-0.6.3.2RC-Dual-ANE-GLM-5.3-Flash-oQ4image-text-to-textmlx1 likes25d agoHugging Face

Datasets

All datasets matching “omlx”
fparrav /splash-omlx-ollama-benchmark Qwen3.8 27B: oMLX vs Splash vs Ollama Reproducible local benchmark on a MacBook Pro M4 Max with 64 GB unified memory. Result in one sentence For this workload, Ollama is the best overall backend: it wins most TTFT/decode comparisons and the concurrency tests. Splash is interesting specifically for cold long-context prefill, where it is faster than oMLX and slightly faster than Ollama at 32K tokens. Scope Prompt lengths: 1K, 4K, 8K, 16K, 32K tokens… See the full description on the dataset page: https://huggingface.co/datasets/fparrav/splash-omlx-ollama-benchmark.0 likes9h agoHugging Face