FitMyLLM
Alibaba/Dense

AlibabaQwen2.5-VL-3B

license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE pipeline_tag: image-text-to-text

chattool_usevision
3.8B
Parameters
125K
Context length
8
Benchmarks
6
Quantizations
4.3M
HF downloads
Architecture
Dense
Released
2025-01-26
Layers
36
KV Heads
2
Head Dim
128
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
3.2 GB
2.8 + 0.4 KV
good
Q5_K_S5.57
3.6 GB
3.1 + 0.4 KV
good
Q5_K_M5.7
3.6 GB
3.2 + 0.4 KV
good
Q6_K6.56
4.0 GB
3.6 + 0.4 KV
excellent
Q8_08.5
4.9 GB
4.5 + 0.4 KV
lossless
FP1616
8.5 GB
8.1 + 0.4 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Community Ratings

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Benchmarks (8)

MMBench77.6
MMMU53.1
IFEval26.9
MMLU-PRO24.5
BBH24.3
MATH14.8
MUSR11.8
GPQA6.4

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen2.5:3.8b

Tag may need adjustment — check ollama.com/library/qwen2.5 for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA

Find the best GPU for Qwen2.5-VL-3B

Build Hardware for Qwen2.5-VL-3B

license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE pipeline_tag: image-text-to-text

▸ SPEC SHEET

Qwen2.5-VL-3B3.8B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, tool_use, vision
RELEASE DATE
2025-01-26
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.8 GB94%
Q5_K_S5.573.1 GB96%
Q5_K_M5.73.2 GB96%
Q6_K6.563.6 GB97%
Q8_08.54.5 GB100%
FP16168.1 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO24.5
MATH14.8
IFEval26.9
BBH24.3
MMMU53.1
GPQA6.4
MUSR11.8
MMBench77.6
§ 02RUN COMMAND

Run Qwen2.5-VL-3B locally with Ollama — needs 2.8 GB VRAM at Q4_K_M:

$ollama run qwen2.5:3.8b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M