What are the hardware requirements for NanoVLM 460M 8K?

NanoVLM 460M 8K requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NanoVLM 460M 8K and how large is it?

NanoVLM 460M 8K is developed by lusxvr, a model with 460m 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 NanoVLM 460M 8K?

NanoVLM 460M 8K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NanoVLM 460M 8K by lusxvr — VRAM 1.8GB

Name: NanoVLM 460M 8K
Author: lusxvr

NanoVLM 460M 8K is an open-source language model by lusxvr. Features: 460m LLM, VRAM: 1.8GB, License: mit, LLM Explorer Score: 0.21.

Ext 8k Image-text-to-text Multimodal Nanovlm Region:us Research Safetensors Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/lusxvr/nanoVLM-460M-8k

NanoVLM 460M 8K Parameters and Internals

LLM Name	NanoVLM 460M 8K
Repository 🤗	https://huggingface.co/lusxvr/nanoVLM-460M-8k
Model Size	460m
Required VRAM	1.8 GB
Updated	2026-08-09
Maintainer	lusxvr
Model Files	1.8 GB
Context Length	8k
License	mit

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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