olmOCR-7B-0225-preview-bf16
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olmOCR-7B-0725-8bit
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View details ↗OLMoE-1B-7B-0125-4bit
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View details ↗OLMoE-1B-7B-0125-Instruct-4bit
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View details ↗OmniVoice-8bit
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View details ↗OmniVoice-bf16
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View details ↗OmniVoice-bfloat16
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View details ↗openai-privacy-filter-4bit
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View details ↗openai-privacy-filter-8bit
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View details ↗openai-privacy-filter-bf16
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View details ↗OpenCodeInterpreter-SC2-3B-4bit
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View details ↗OpenELM-270M-Instruct
mlx-communityThis model was converted to MLX format from `apple/OpenELM-270M-instruct` using mlx-lm version **0.10.0**. Refer to the original model card for more details on the model.
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View details ↗Ornith-1.0-35B-4bit
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View details ↗Ornith-1.0-9B-4bit
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View details ↗Ornith-1.0-9B-OptiQ-4bit
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View details ↗Ornith-1.5-35B-A3B-8bit
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View details ↗Ornith-1.5-35B-A3B-OptiQ-4bit
mlx-community> **Built with mlx-optiq**, the MLX-native toolkit to quantize, fine-tune, and serve LLMs locally on Apple Silicon, no PyTorch and no cloud. All OptiQ quants · Docs OptiQ mixed-precision quant of ornith-ai/Ornith-1.5-35B-A3B, a 35B mixture-of-experts vision-language model with 3B active parameters and a bundled MTP speculation head. 24 GB on disk. Following the naming `llama.cpp` uses for its mixed quants, the "4bit" label denotes the family, not the weighted average.
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View details ↗Ornith-1.5-35B-A3B-OptiQ-4bit-REAP-19B
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View details ↗Ornith-1.5-9B-OptiQ-4bit
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View details ↗Ornith-1.5-9B-oQ6e-mtp
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View details ↗orpheus-3b-0.1-ft-4bit
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View details ↗orpheus-3b-0.1-ft-8bit
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View details ↗orpheus-3b-0.1-ft-bf16
mlx-communityThis model mlx-community/orpheus-3b-0.1-ft-bf16 was converted to MLX format from canopylabs/orpheus-3b-0.1-ft using mlx-audio version **0.0.3**.
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View details ↗OvisOCR2-8bit
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