What are the hardware requirements for Qwen3vl 8B Chartqa Merged 16bit?

Qwen3vl 8B Chartqa Merged 16bit requires approximately 17.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3vl 8B Chartqa Merged 16bit and how large is it?

Qwen3vl 8B Chartqa Merged 16bit is developed by steven0226, 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 Qwen3vl 8B Chartqa Merged 16bit?

Qwen3vl 8B Chartqa Merged 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3vl 8B Chartqa Merged 16bit by steven0226 — VRAM 17.5GB

Name: Qwen3vl 8B Chartqa Merged 16bit
Author: steven0226

Qwen3vl 8B Chartqa Merged 16bit is an open-source language model by steven0226. Features: 8b LLM, VRAM: 17.5GB, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.25.

Merged Model 4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-vl-8b... Chartqa Conversational Dataset:huggingfacem4/chartqa En Endpoints compatible Image-text-to-text Instruct Qlora Quantized Qwen3-vl Qwen3 vl Region:us Safetensors Sharded Tensorflow Vision Vision-language Vllm

Model Card on HF 🤗: https://huggingface.co/steven0226/qwen3vl-8b-chartqa-merged-16bit

Qwen3vl 8B Chartqa Merged 16bit Parameters and Internals

LLM Name	Qwen3vl 8B Chartqa Merged 16bit
Repository 🤗	https://huggingface.co/steven0226/qwen3vl-8b-chartqa-merged-16bit
Model Name	unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit
Base Model(s)	...L 8B Instruct Unsloth Bnb 4bit unsloth/Qwen3-VL-8B-Instruct-unsloth-bnb-4bit
Merged Model	Yes
Model Size	8b
Required VRAM	17.5 GB
Updated	2026-08-14
Maintainer	steven0226
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 2.7 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3vl 8B Chartqa Merged 16bit 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 Qwen3vl 8B Chartqa Merged 16bit

Best Alternatives	Context / RAM	Downloads	Likes
...L 8B Instruct Unsloth Bnb 4bit	0K / 7.7 GB	24231	22
Claude Qwen3.vl.8B	0K / 17.5 GB	30	2
Qwen3 VL 8B Instruct Bnb 4bit	0K / 7.2 GB	11322	4
Qwen3 VL 8B Instruct 4bit	0K / 5.7 GB	2365	6
Qwen3 VL 8B Instruct 8bit	0K / 9.8 GB	1157	5
Qwen3 VL 8B Instruct 6bit	0K / 7.8 GB	44	2
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
PhysBrain1.5 8B	0K / 17.8 GB	469	27
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
Qwen3vl Resume Parser	0K / 17.5 GB	257455	3

Note: green Score (e.g. "73.2") means that the model is better than steven0226/qwen3vl-8b-chartqa-merged-16bit.