What are the hardware requirements for LFM2 VL 1.6B Bf16?

LFM2 VL 1.6B Bf16 requires approximately 3.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LFM2 VL 1.6B Bf16 and how large is it?

LFM2 VL 1.6B Bf16 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 Bf16?

LFM2 VL 1.6B Bf16 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 Bf16 by mlx-community — VRAM 3.2GB

Name: LFM2 VL 1.6B Bf16
Author: mlx-community

LFM2 VL 1.6B Bf16 is an open-source language model by mlx-community. Features: 1.6b LLM, VRAM: 3.2GB, License: other.

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

Model Card on HF 🤗: https://huggingface.co/mlx-community/LFM2-VL-1.6B-bf16

LFM2 VL 1.6B Bf16 Parameters and Internals

LLM Name	LFM2 VL 1.6B Bf16
Repository 🤗	https://huggingface.co/mlx-community/LFM2-VL-1.6B-bf16
Model Size	1.6b
Required VRAM	3.2 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	lfm2-vl
Model Files	3.2 GB
Supported Languages	en
Model Architecture	Lfm2VlForConditionalGeneration
License	other
Transformers Version	4.55.0
Padding Token	<\|pad\|>

Rank the LFM2 VL 1.6B Bf16 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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LFM2 VL 1.6B 4bit	0K / 1.5 GB	4877	1
LFM2 VL 1.6B 5bit	0K / 1.6 GB	28	1
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LFM2 VL 1.6B 8bit	0K / 2.1 GB	50	10