What are the hardware requirements for InnovatorVL V2?

InnovatorVL V2 requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InnovatorVL V2 and how large is it?

InnovatorVL V2 is developed by InnovatorLab, a model with 9.4b 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 InnovatorVL V2?

InnovatorVL V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InnovatorVL V2 by InnovatorLab — VRAM 18.8GB

Name: InnovatorVL V2
Author: InnovatorLab

InnovatorVL V2 is an open-source language model by InnovatorLab. Features: 9.4b LLM, VRAM: 18.8GB, License: other, LLM Explorer Score: 0.31.

Conversational Endpoints compatible Image-text-to-text Multimodal Qwen3.5 Qwen3 5 Reasoning Region:us Rl Safetensors Science Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/InnovatorLab/InnovatorVL-v2

InnovatorVL V2 Parameters and Internals

LLM Name	InnovatorVL V2
Repository 🤗	https://huggingface.co/InnovatorLab/InnovatorVL-v2
Model Size	9.4b
Required VRAM	18.8 GB
Updated	2026-11-13
Maintainer	InnovatorLab
Model Type	qwen3_5
Model Files	18.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.3.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the InnovatorVL V2 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to InnovatorVL V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen Image 2.1 PE I2I	0K / 3.6 GB	5501	42
Qwen Image 2.1 PE T2I	0K / 3.6 GB	1885	43
NorthCUA Nano	0K / 18.9 GB	183	11
... Image 2.1 PE T2I Heretic V1.0	0K / 18.8 GB	937	1
NorthCUA Nano NVFP4A16	0K / 11.3 GB	115	1
Qwen Image 2.1 PE T2I MLX	0K / 18.8 GB	729	1
Clef Flash OQ4e	0K / 6 GB	252	6
Qwen Image 2.1 PE I2I MLX	0K / 18.8 GB	643	1
...n Prompt Upsampler Abliterated	0K / 18.9 GB	102	4
...Brew Qwen3.5 RP Base CharThink	0K / 18.8 GB	96	0

Note: green Score (e.g. "73.2") means that the model is better than InnovatorLab/InnovatorVL-v2.