What are the hardware requirements for D1 Omni 600M MLX Fp16?

D1 Omni 600M MLX Fp16 requires approximately 1.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed D1 Omni 600M MLX Fp16 and how large is it?

D1 Omni 600M MLX Fp16 is developed by LiquidAI, a model with 600m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate D1 Omni 600M MLX Fp16?

D1 Omni 600M MLX Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

D1 Omni 600M MLX Fp16 by LiquidAI — VRAM 1.2GB

Name: D1 Omni 600M MLX Fp16
Author: LiquidAI

D1 Omni 600M MLX Fp16 is an open-source language model by LiquidAI. Features: 600m LLM, VRAM: 1.2GB, License: other, Quantized, LLM Explorer Score: 0.31.

Arxiv:2511.23404 Ar Audio Base model:finetune:liquidai/d... Base model:liquidai/d1-omni-60... Calibration Classification Custom code D1 omni De Decision Edge En Es Fp16 Fr Hi Image-text-to-text It Ja Lfm2.5 Liquid Mlx Mlx-vlm Multimodal Nl Pl Pt Quantized Region:us Ru Safetensors System-one Tr Vi Vision Zh

Model Card on HF 🤗: https://huggingface.co/LiquidAI/d1-omni-600M-MLX-fp16

D1 Omni 600M MLX Fp16 Parameters and Internals

LLM Name	D1 Omni 600M MLX Fp16
Repository 🤗	https://huggingface.co/LiquidAI/d1-omni-600M-MLX-fp16
Base Model(s)	D1 Omni 600M LiquidAI/d1-omni-600M
Model Size	600m
Required VRAM	1.2 GB
Updated	2026-10-15
Maintainer	LiquidAI
Model Type	d1_omni
Model Files	1.2 GB
Supported Languages	en de es fr it nl pl pt ar hi ja ru tr vi zh
Quantization Type	fp16
Model Architecture	D1OmniModel
License	other
Model Max Length	16384
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>

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Best Alternatives to D1 Omni 600M MLX Fp16

Best Alternatives	Context / RAM	Downloads	Likes
D1 Omni 600M MLX 8bit	0K / 0.7 GB	120	3

Note: green Score (e.g. "73.2") means that the model is better than LiquidAI/d1-omni-600M-MLX-fp16.