What are the hardware requirements for LFM2 VL 1.6B 6bit?

LFM2 VL 1.6B 6bit requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2 VL 1.6B 6bit and how large is it?

LFM2 VL 1.6B 6bit is developed by mlx-community, a model with 1.6b 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 LFM2 VL 1.6B 6bit?

LFM2 VL 1.6B 6bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LFM2 VL 1.6B 6bit by mlx-community — VRAM 1.8GB

Name: LFM2 VL 1.6B 6bit
Author: mlx-community

LFM2 VL 1.6B 6bit is an open-source language model by mlx-community. Features: 1.6b LLM, VRAM: 1.8GB, License: other, Quantized.

6-bit 6bit Conversational Custom code Edge En Endpoints compatible Image-text-to-text Lfm2 Lfm2-vl Liquid Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/LFM2-VL-1.6B-6bit

LFM2 VL 1.6B 6bit Parameters and Internals

LLM Name	LFM2 VL 1.6B 6bit
Repository 🤗	https://huggingface.co/mlx-community/LFM2-VL-1.6B-6bit
Model Size	1.6b
Required VRAM	1.8 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	lfm2-vl
Model Files	1.8 GB
Supported Languages	en
Quantization Type	6bit
Model Architecture	Lfm2VlForConditionalGeneration
License	other
Transformers Version	4.55.0
Padding Token	<\|pad\|>

Rank the LFM2 VL 1.6B 6bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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