FitMyLLM
Alibaba/Dense

AlibabaQwen3.5-4B

> This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

chatThinkingTool Use
4.7B
Parameters
256K
Context length
15
Benchmarks
6
Quantizations
1.8M
HF downloads
Architecture
Dense
Released
2025-06-01
Layers
40
KV Heads
8
Head Dim
128
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.2 GB
3.4 + 1.9 KV
good
Q5_K_S5.57
5.6 GB
3.8 + 1.9 KV
good
Q5_K_M5.7
5.7 GB
3.8 + 1.9 KV
good
Q6_K6.56
6.2 GB
4.3 + 1.9 KV
excellent
Q8_08.5
7.4 GB
5.5 + 1.9 KV
lossless
FP1616
11.8 GB
9.9 + 1.9 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN QWEN3.5-4B NOW

Rent on Vast.ai →Or RunPod →

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (15)

τ²-Bench92.1
GPQA Diamond77.1
AA Long Context55.7
IFBench52.0
IFEval31.6
AA Intelligence27.1
Terminal-Bench18.2
AA Coding17.5
BBH16.3
SciCode16.1
MMLU-PRO15.5
HLE7.8
MUSR7.4
MATH2.8
GPQA2.2

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3:4.7b

Tag may need adjustment — check ollama.com/library/qwen3 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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C1080
4 GB VRAM • 102 GB/s
NVIDIA
NVIDIA Tesla K10
4 GB VRAM • 160 GB/s
NVIDIA
NVIDIA Tesla M4
4 GB VRAM • 88 GB/s
NVIDIA
NVIDIA GeForce GTX 1050 Ti
4 GB VRAM • 112 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon Instinct MI8
4 GB VRAM • 512 GB/s
AMD
NVIDIA GeForce GTX 1650
4 GB VRAM • 128 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1650 SUPER
4 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5300 XT OEM
4 GB VRAM • 112 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5500 OEM
4 GB VRAM • 224 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5500 XT
4 GB VRAM • 224 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 5500M
4 GB VRAM • 224 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1650 GDDR6
4 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1650 TU106
4 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1650 TU116
4 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1630
4 GB VRAM • 96 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 3050 4 GB
4 GB VRAM • 192 GB/s
NVIDIA
$149
AmazonNeweggeBayPCPartPicker
NVIDIA RTX A1000 Embedded
4 GB VRAM • 224 GB/s
NVIDIA
NVIDIA RTX A2000 Embedded
4 GB VRAM • 192 GB/s
NVIDIA
AMD Radeon RX 6400
4 GB VRAM • 128 GB/s
AMD
$139
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6500 XT
4 GB VRAM • 144 GB/s
AMD
$70
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6500M
4 GB VRAM • 144 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6600S
4 GB VRAM • 224 GB/s
AMD
$175
AmazonNeweggeBayPCPartPicker
Intel Arc A310
4 GB VRAM • 124 GB/s
INTEL
$79
AmazonNeweggeBayPCPartPicker
Intel Arc A350
4 GB VRAM • 124 GB/s
INTEL
$99
AmazonNeweggeBayPCPartPicker
Intel Arc A350M
4 GB VRAM • 112 GB/s
INTEL
AmazonNeweggeBayPCPartPicker
Intel Arc A370M
4 GB VRAM • 112 GB/s
INTEL
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6450M
4 GB VRAM • 128 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6550M
4 GB VRAM • 144 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6550S
4 GB VRAM • 128 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 4010
4 GB VRAM • 96 GB/s
NVIDIA
$199
AmazonNeweggeBayPCPartPicker

Find the best GPU for Qwen3.5-4B

Build Hardware for Qwen3.5-4B

Model Card

View on HuggingFace

> This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

▸ SPEC SHEET

Qwen3.5-4B — 4.7B Dense.

▸ SPECIFICATIONS
PARAMETERS
4.7B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
256K tokens
CAPABILITIES
chat
RELEASE DATE
2025-06-01
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.893.4 GB94%
Q5_K_S5.573.8 GB96%
Q5_K_M5.73.8 GB96%
Q6_K6.564.3 GB97%
Q8_08.55.5 GB100%
FP16169.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO15.5
MATH2.8
IFEval31.6
BBH16.3
GPQA2.2
MUSR7.4
GPQA Diamond77.1
HLE7.8
AA Intelligence27.1
AA Coding17.5
aa_ifbench52.0
aa_terminal_bench18.2
aa_tau292.1
aa_scicode16.1
aa_lcr55.7
§ 02RUN COMMAND

Run Qwen3.5-4B locally with Ollama — needs 3.4 GB VRAM at Q4_K_M:

$ollama run qwen3:4.7b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA Tesla C1080
4 GB · 102 GB/s
NVIDIA Tesla K10
4 GB · 160 GB/s
NVIDIA Tesla M4
4 GB · 88 GB/s
NVIDIA GeForce GTX 1050 Ti
4 GB · 112 GB/s
AMD Radeon Instinct MI8
4 GB · 512 GB/s
NVIDIA GeForce GTX 1650
4 GB · 128 GB/s
NVIDIA GeForce GTX 1650 SUPER
4 GB · 192 GB/s
AMD Radeon RX 5300 XT OEM
4 GB · 112 GB/s
AMD Radeon RX 5500 OEM
4 GB · 224 GB/s
AMD Radeon RX 5500 XT
4 GB · 224 GB/s
AMD Radeon RX 5500M
4 GB · 224 GB/s
NVIDIA GeForce GTX 1650 GDDR6
4 GB · 192 GB/s
NVIDIA GeForce GTX 1650 TU106
4 GB · 192 GB/s
NVIDIA GeForce GTX 1650 TU116
4 GB · 192 GB/s
NVIDIA GeForce GTX 1630
4 GB · 96 GB/s