What are the hardware requirements for Qwen2 VL 7B Bf16?

Qwen2 VL 7B Bf16 requires approximately 16.6 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 VL 7B Bf16 and how large is it?

Qwen2 VL 7B Bf16 is developed by mlx-community, a model with 7b 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 Qwen2 VL 7B Bf16?

Qwen2 VL 7B Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 VL 7B Bf16 by mlx-community — VRAM 16.6GB, 32K context

Name: Qwen2 VL 7B Bf16
Author: mlx-community

Qwen2 VL 7B Bf16 is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 16.6GB, Context: 32K, License: apache-2.0.

Conversational En Endpoints compatible Image-text-to-text Mlx Multimodal Qwen2 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2-VL-7B-bf16

Qwen2 VL 7B Bf16 Parameters and Internals

LLM Name	Qwen2 VL 7B Bf16
Repository 🤗	https://huggingface.co/mlx-community/Qwen2-VL-7B-bf16
Model Size	7b
Required VRAM	16.6 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen2_vl
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 4.9 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2VLForConditionalGeneration
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 VL 7B Bf16 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 Qwen2 VL 7B Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 VL 7B Instruct	32K / 16.7 GB	33	37
Qwen2 VL 7B Instruct Bf16	32K / 16.6 GB	50	4
Qwen2 VL 7B 4bit	32K / 4.7 GB	32	3
Qwen2 VL 7B Instruct 4bit	32K / 4.7 GB	648	2
OlmOCR 7B 0225 Preview 4bit	32K / 5.6 GB	22	1
...L 7B Instruct Abliterated 8bit	32K / 8.9 GB	29	1
Qwen2 VL 7B 8bit	32K / 8.9 GB	19	1
Qwen2 VL 7B Instruct 8bit	32K / 8.9 GB	36	2
UI TARS 7B DPO 8bit	32K / 9.4 GB	37	1
Qwen2 VL 7B Instruct AWQ	32K / 6.9 GB	10752	22

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2-VL-7B-bf16.