What are the hardware requirements for Qwen2.5 Vl 3B Mllmu Ft?

Qwen2.5 Vl 3B Mllmu Ft requires approximately 7.5 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Vl 3B Mllmu Ft and how large is it?

Qwen2.5 Vl 3B Mllmu Ft is developed by Lordvarun23, a model with 3b 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 Qwen2.5 Vl 3B Mllmu Ft?

Qwen2.5 Vl 3B Mllmu Ft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Vl 3B Mllmu Ft by Lordvarun23 — VRAM 7.5GB, 125K context

Name: Qwen2.5 Vl 3B Mllmu Ft
Author: Lordvarun23

Qwen2.5 Vl 3B Mllmu Ft is an open-source language model by Lordvarun23. Features: 3b LLM, VRAM: 7.5GB, Context: 125K, License: other, Instruction-Based, LLM Explorer Score: 0.29.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-vl-3b-... Conversational Dataset:mllmmu/mllmu-bench En Endpoints compatible Image-text-to-text Instruct Machine-unlearning Mllmu-bench Multimodal Qwen2.5-vl Qwen2 5 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Lordvarun23/qwen2.5-vl-3b-mllmu-ft

Qwen2.5 Vl 3B Mllmu Ft Parameters and Internals

LLM Name	Qwen2.5 Vl 3B Mllmu Ft
Repository 🤗	https://huggingface.co/Lordvarun23/qwen2.5-vl-3b-mllmu-ft
Base Model(s)	Qwen/Qwen2.5-VL-3B-Instruct Qwen/Qwen2.5-VL-3B-Instruct
Model Size	3b
Required VRAM	7.5 GB
Updated	2026-09-28
Maintainer	Lordvarun23
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 Vl 3B Mllmu Ft 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 Qwen2.5 Vl 3B Mllmu Ft

Best Alternatives	Context / RAM	Downloads	Likes
Nanonets OCR2 3B	125K / 7.5 GB	659329	511
Qwen2.5 VL 3B Instruct	125K / 7.5 GB	7336490	683
Nanonets OCR S	125K / 7.5 GB	52151	1591
Typhoon Ocr 3B	125K / 7.5 GB	356913	9
Hi Token	125K / 8.1 GB	33	1
SpatialBlock 3B Direct	125K / 7.5 GB	62	1
SpatialBlock 3B Reason	125K / 8.1 GB	45	0
Qwen2.5 Vl 3B Idp	125K / 7.5 GB	9	1
...V L Rank8 Dr0.05 Lr1e 04 Wu0.1	125K / 7.5 GB	7	1
Spatial SSRL 3B	125K / 8.2 GB	161	7

Note: green Score (e.g. "73.2") means that the model is better than Lordvarun23/qwen2.5-vl-3b-mllmu-ft.