What are the hardware requirements for Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1?

Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 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.

Where can I download or evaluate Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1?

Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 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 Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 by rsoohyun213 — VRAM 7.5GB, 125K context

Name: Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1
Author: rsoohyun213

Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 is an open-source language model by rsoohyun213. Features: 3b LLM, VRAM: 7.5GB, Context: 125K, Instruction-Based, LLM Explorer Score: 0.27.

Arxiv:1910.09700 Conversational Endpoints compatible Image-text-to-text Instruct Qwen2 5 vl Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/rsoohyun213/Qwen2.5-VL-3B-Instruct-v6_s4_exp2_only_blocks_ver3-V_L-rank8-dr0.05-lr1e-04-wu0.1

Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 Parameters and Internals

LLM Name	Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1
Repository 🤗	https://huggingface.co/rsoohyun213/Qwen2.5-VL-3B-Instruct-v6_s4_exp2_only_blocks_ver3-V_L-rank8-dr0.05-lr1e-04-wu0.1
Model Size	3b
Required VRAM	7.5 GB
Updated	2026-08-14
Maintainer	rsoohyun213
Model Type	qwen2_5_vl
Instruction-Based	Yes
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	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 VL 3B Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1 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 Instruct V6 S4 Exp2 Only Blocks Ver3 V L Rank8 Dr0.05 Lr1e 04 Wu0.1

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Nanonets OCR2 3B	125K / 7.5 GB	659329	511
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Remember R1 3B	125K / 7.5 GB	21	1
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ScaleCUA 3B	125K / 7.5 GB	261	13

Note: green Score (e.g. "73.2") means that the model is better than rsoohyun213/Qwen2.5-VL-3B-Instruct-v6_s4_exp2_only_blocks_ver3-V_L-rank8-dr0.05-lr1e-04-wu0.1.