What are the hardware requirements for Qwen2.5 VL 3B RSM2FTok?

Qwen2.5 VL 3B RSM2FTok 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 RSM2FTok and how large is it?

Qwen2.5 VL 3B RSM2FTok is developed by koreyoshieo, 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 RSM2FTok?

Qwen2.5 VL 3B RSM2FTok 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 RSM2FTok by koreyoshieo — VRAM 7.5GB, 125K context

Name: Qwen2.5 VL 3B RSM2FTok
Author: koreyoshieo

Qwen2.5 VL 3B RSM2FTok is an open-source language model by koreyoshieo. Features: 3b LLM, VRAM: 7.5GB, Context: 125K, LLM Explorer Score: 0.3.

Conversational Endpoints compatible Image-text-to-text Mask-generation Qwen2.5-vl Qwen2 5 vl Qwen3-vl Region:us Remote-sensing Rsm2ftok Safetensors Semantic-segmentation Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/koreyoshieo/Qwen2.5-VL-3B-RSM2FTok

Qwen2.5 VL 3B RSM2FTok Parameters and Internals

LLM Name	Qwen2.5 VL 3B RSM2FTok
Repository 🤗	https://huggingface.co/koreyoshieo/Qwen2.5-VL-3B-RSM2FTok
Model Size	3b
Required VRAM	7.5 GB
Updated	2026-11-13
Maintainer	koreyoshieo
Model Type	qwen2_5_vl
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
Model Architecture	Qwen2_5_VLForConditionalGeneration
Context Length	128000
Model Max Length	128000
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152179
Errors	replace

Rank the Qwen2.5 VL 3B RSM2FTok 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 Qwen2.5 VL 3B RSM2FTok

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
EVAN 3B	125K / 8.1 GB	78	0
Typhoon Ocr 3B	125K / 7.5 GB	356913	9
Qwen2.5 Vl 3B Mllmu Ft	125K / 7.5 GB	110	0
Papo Step150	125K / 8.1 GB	32	1
Rex Omni	125K / 8.1 GB	14657	65
Satquery Qwen Vl 3B Merged	125K / 7.5 GB	24	1
SpatialBlock 3B Direct	125K / 7.5 GB	62	1

Note: green Score (e.g. "73.2") means that the model is better than koreyoshieo/Qwen2.5-VL-3B-RSM2FTok.