Alibaba/Dense

Qwen3.5-27B

chatThinkingTool Use

27.8B

Parameters

256K

Context length

21

Benchmarks

10

Quantizations

2.2M

HF downloads

Architecture

Dense

Released

2026-02-24

Layers

64

KV Heads

4

Head Dim

128

Family

qwen

Quantization Options

Quant	Bits	VRAM	Quality
Q3_K_M	4	14.4 GB	low
Q3_K_L	4.3	15.4 GB	moderate
IQ4_XS	4.46	16.0 GB	moderate
Q4_K_S	4.67	16.7 GB	moderate
Q4_K_M	4.89	17.5 GB	good
Q5_K_S	5.57	19.8 GB	good
Q5_K_M	5.7	20.3 GB	good
Q6_K	6.56	23.3 GB	excellent
Q8_0	8.5	30.0 GB	lossless
FP16	16	56.1 GB	lossless

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

▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN QWEN3.5-27B NOW

Rent on RunPod →Or Vast.ai →

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

Community Ratings

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Benchmarks (21)

Arena Elo1479

IFEval95.0

τ²-Bench93.9

MMBench92.6

MMLU-PRO86.1

GPQA Diamond85.5

MMMU82.3

LiveCodeBench80.7

IFBench75.6

SWE-bench72.4

AA Long Context67.3

MATH62.5

BBH56.5

BigCodeBench45.0

SciCode39.5

AA Intelligence37.2

AA Coding33.4

Terminal-Bench32.6

HLE24.3

MUSR13.5

GPQA11.7

Run this model

▸Easiest way to get started·Beginners

curl -fsSL https://ollama.com/install.sh | sh

$ollama run qwen3:27.8b-instruct-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ 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

HuggingFace Ollama Library GGUF Downloads Build Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Apple M3 Pro (18GB)

18 GB VRAM • 150 GB/s

APPLE

$1599

20 GB VRAM • 800 GB/s

AMD

$849

Amazon Newegg eBay PCPartPicker

NVIDIA RTX 4000 Ada 20GB

20 GB VRAM • 432 GB/s

NVIDIA

$1250

Amazon Newegg eBay PCPartPicker

20 GB VRAM • 500 GB/s

NVIDIA

Amazon Newegg eBay PCPartPicker

NVIDIA GeForce RTX 3080 Ti 20 GB

20 GB VRAM • 760 GB/s

NVIDIA

$1199

Amazon Newegg eBay PCPartPicker

AMD Radeon RX 7900 XT

20 GB VRAM • 800 GB/s

AMD

$899

Amazon Newegg eBay PCPartPicker

NVIDIA RTX 4000 Ada Generation

20 GB VRAM • 360 GB/s

NVIDIA

$1250

Amazon Newegg eBay PCPartPicker

NVIDIA RTX 4000 SFF Ada Generation

20 GB VRAM • 280 GB/s

NVIDIA

$1250

Amazon Newegg eBay PCPartPicker

NVIDIA RTX A4500

20 GB VRAM • 640 GB/s

NVIDIA

$2000

NVIDIA RTX 4090

24 GB VRAM • 1008 GB/s

NVIDIA

$1599

Amazon Newegg eBay PCPartPicker

NVIDIA RTX 3090 Ti

24 GB VRAM • 1008 GB/s

NVIDIA

$999

Amazon Newegg eBay PCPartPicker

NVIDIA RTX 3090

24 GB VRAM • 936 GB/s

NVIDIA

$850

Amazon Newegg eBay PCPartPicker

AMD RX 7900 XTX

24 GB VRAM • 960 GB/s

AMD

$999

Amazon Newegg eBay PCPartPicker

Apple M4 Pro (24GB)

24 GB VRAM • 273 GB/s

APPLE

$1399

24 GB VRAM • 300 GB/s

NVIDIA

$2500

NVIDIA A10 24GB

24 GB VRAM • 600 GB/s

NVIDIA

$3500

Amazon Newegg eBay PCPartPicker

Apple M2 (24GB)

24 GB VRAM • 100 GB/s

APPLE

$999

Apple M3 (24GB)

24 GB VRAM • 100 GB/s

APPLE

$999

Apple M4 (24GB)

24 GB VRAM • 120 GB/s

APPLE

$699

NVIDIA Tesla M40 24 GB

24 GB VRAM • 288 GB/s

NVIDIA

NVIDIA Tesla P10

24 GB VRAM • 694 GB/s

NVIDIA

NVIDIA Tesla P40

24 GB VRAM • 347 GB/s

NVIDIA

NVIDIA Quadro RTX 6000

24 GB VRAM • 672 GB/s

NVIDIA

$4000

Amazon Newegg eBay PCPartPicker

NVIDIA Quadro RTX 6000 Passive

24 GB VRAM • 624 GB/s

NVIDIA

$4000

Amazon Newegg eBay PCPartPicker

NVIDIA GeForce RTX 3090

24 GB VRAM • 936 GB/s

NVIDIA

$1499

Amazon Newegg eBay PCPartPicker

NVIDIA A10 PCIe

24 GB VRAM • 600 GB/s

NVIDIA

Amazon Newegg eBay PCPartPicker

24 GB VRAM • 600 GB/s

NVIDIA

Amazon Newegg eBay PCPartPicker

NVIDIA RTX A5000

24 GB VRAM • 768 GB/s

NVIDIA

$2500

NVIDIA GeForce RTX 3090 Ti

24 GB VRAM • 1010 GB/s

NVIDIA

$1999

Amazon Newegg eBay PCPartPicker

NVIDIA GeForce RTX 4090

24 GB VRAM • 1010 GB/s

NVIDIA

$1599

Amazon Newegg eBay PCPartPicker

Find the best GPU for Qwen3.5-27B

Build Hardware for Qwen3.5-27B

Model Card

View on HuggingFace

Read the full model card for detailed information about this model.

▸ SPEC SHEET

Qwen3.5-27B — 27.8B Dense.

▸ SPECIFICATIONS

PARAMETERS: 27.8B
ARCHITECTURE: Dense Transformer
CONTEXT LENGTH: 256K tokens
CAPABILITIES: chat
RELEASE DATE: 2026-02-24
PROVIDER: Alibaba
FAMILY: qwen

▸ VRAM REQUIREMENTS

QUANT	BPW	VRAM	QUALITY
Q3_K_M	4	14.4 GB	88%
Q3_K_L	4.3	15.4 GB	90%
IQ4_XS	4.46	16.0 GB	92%
Q4_K_S	4.67	16.7 GB	93%
Q4_K_M	4.89	17.5 GB	94%
Q5_K_S	5.57	19.8 GB	96%
Q5_K_M	5.7	20.3 GB	96%
Q6_K	6.56	23.3 GB	97%
Q8_0	8.5	30.0 GB	100%
FP16	16	56.1 GB	100%

§ 01BENCHMARK SCORES

MMLU-PRO86.1

MATH62.5

IFEval95.0

BBH56.5

MMMU82.3

GPQA11.7

MUSR13.5

BigCodeBench45.0

MMBench92.6

Arena Elo1479.0

GPQA Diamond85.5

HLE24.3

AA Intelligence37.2

AA Coding33.4

LiveCodeBench80.7

SWE-bench72.4

aa_ifbench75.6

aa_terminal_bench32.6

aa_tau293.9

aa_scicode39.5

aa_lcr67.3

§ 02RUN COMMAND

Run Qwen3.5-27B locally with Ollama — needs 17.5 GB VRAM at Q4_K_M:

$ollama run qwen3:27.8b

§ 03COMPATIBLE GPUs

30 @ Q4_K_M

Apple M3 Pro (18GB)

18 GB · 150 GB/s

20 GB · 800 GB/s

NVIDIA RTX 4000 Ada 20GB

20 GB · 432 GB/s

20 GB · 500 GB/s

NVIDIA GeForce RTX 3080 Ti 20 GB

20 GB · 760 GB/s

AMD Radeon RX 7900 XT

20 GB · 800 GB/s

NVIDIA RTX 4000 Ada Generation

20 GB · 360 GB/s

NVIDIA RTX 4000 SFF Ada Generation

20 GB · 280 GB/s

NVIDIA RTX A4500

20 GB · 640 GB/s

NVIDIA RTX 4090

24 GB · 1008 GB/s

NVIDIA RTX 3090 Ti

24 GB · 1008 GB/s

NVIDIA RTX 3090

24 GB · 936 GB/s

AMD RX 7900 XTX

24 GB · 960 GB/s

Apple M4 Pro (24GB)

24 GB · 273 GB/s

24 GB · 300 GB/s