What are the hardware requirements for Qwen3 VL 8B Instruct Abliterated V2?

Qwen3 VL 8B Instruct Abliterated V2 requires approximately 17.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 8B Instruct Abliterated V2 and how large is it?

Qwen3 VL 8B Instruct Abliterated V2 is developed by prithivMLmods, a model with 8b 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 Qwen3 VL 8B Instruct Abliterated V2?

Qwen3 VL 8B Instruct Abliterated V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 8B Instruct Abliterated V2 by prithivMLmods — VRAM 17.6GB

Name: Qwen3 VL 8B Instruct Abliterated V2
Author: prithivMLmods

Qwen3 VL 8B Instruct Abliterated V2 is an open-source language model by prithivMLmods. Features: 8b LLM, VRAM: 17.6GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Abliterated Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-8b-in... Conversational En Endpoints compatible Image-text-to-text Instruct Qwen3 vl Region:us Safetensors Sharded Tensorflow V2.0

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2

Qwen3 VL 8B Instruct Abliterated V2 Parameters and Internals

LLM Name	Qwen3 VL 8B Instruct Abliterated V2
Repository 🤗	https://huggingface.co/prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2
Base Model(s)	Qwen3 VL 8B Instruct Qwen/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	17.6 GB
Updated	2026-08-14
Maintainer	prithivMLmods
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	3.0 GB: 1-of-6 3.0 GB: 2-of-6 2.9 GB: 3-of-6 3.0 GB: 4-of-6 3.0 GB: 5-of-6 2.7 GB: 6-of-6
Supported Languages	en
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 VL 8B Instruct Abliterated V2 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

Best Alternatives to Qwen3 VL 8B Instruct Abliterated V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
PhysBrain1.5 8B	0K / 17.8 GB	111	18
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3
Qwen3 VL 8B Heretic 1.3.0	0K / 17.5 GB	4653	12
ArmorOCR	0K / 17.5 GB	195	9
Qwen3 VL 8B VQA SFT	0K / 17.5 GB	199	0
Zhimu 1.0	0K / 18.6 GB	175	3
GUI Owl 1.5 8B Instruct	0K / 17.5 GB	4882	13
InSight Doc 8B	0K / 17.6 GB	90	3

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v2.