What are the hardware requirements for OmniLong Qwen2.5 VL 7B?

OmniLong Qwen2.5 VL 7B requires approximately 16.6 GB of VRAM and supports a context window of 512K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OmniLong Qwen2.5 VL 7B and how large is it?

OmniLong Qwen2.5 VL 7B is developed by aws-prototyping, 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 OmniLong Qwen2.5 VL 7B?

OmniLong Qwen2.5 VL 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OmniLong Qwen2.5 VL 7B by aws-prototyping — VRAM 16.6GB, 512K context

Name: OmniLong Qwen2.5 VL 7B
Author: aws-prototyping

OmniLong Qwen2.5 VL 7B is an open-source language model by aws-prototyping. Features: 7b LLM, VRAM: 16.6GB, Context: 512K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Instruct Qwen2 5 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/aws-prototyping/OmniLong-Qwen2.5-VL-7B

OmniLong Qwen2.5 VL 7B Benchmarks

LLME Score: 0.19898

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

OmniLong Qwen2.5 VL 7B (aws-prototyping/OmniLong-Qwen2.5-VL-7B)

🌟 Advertise your project 🚀

OmniLong Qwen2.5 VL 7B Parameters and Internals

LLM Name	OmniLong Qwen2.5 VL 7B
Repository 🤗	https://huggingface.co/aws-prototyping/OmniLong-Qwen2.5-VL-7B
Model Size	7b
Required VRAM	16.6 GB
Updated	2025-09-23
Maintainer	aws-prototyping
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.7 GB: 4-of-4
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	524288
Model Max Length	524288
Transformers Version	4.47.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to OmniLong Qwen2.5 VL 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
Qwen2.5 VL 7B Instruct NVFP4	125K / 7.2 GB	5600	14
Qwen2.5 VL 7B Instruct FP8	125K / 10 GB	332	7
HuatuoGPT Vision 7B Qwen2.5VL	125K / 16.6 GB	1629	10

Note: green Score (e.g. "73.2") means that the model is better than aws-prototyping/OmniLong-Qwen2.5-VL-7B.

Rank the OmniLong Qwen2.5 VL 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53205 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

OmniLong Qwen2.5 VL 7B by aws-prototyping

» All LLMs » aws-prototyping » OmniLong Qwen2.5 VL 7B URL Share it on

OmniLong Qwen2.5 VL 7B Benchmarks

OmniLong Qwen2.5 VL 7B Parameters and Internals

Best Alternatives to OmniLong Qwen2.5 VL 7B

Rank the OmniLong Qwen2.5 VL 7B Capabilities

What open-source LLMs or SLMs are you in search of? 53205 in total.