FitMyLLM
Alibaba/Dense

AlibabaQwen3.5-27B

> 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.

chat
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
256
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
15.1 GB
14.4 + 0.8 KV
low
Q3_K_L4.3
16.2 GB
15.4 + 0.8 KV
moderate
IQ4_XS4.46
16.7 GB
16.0 + 0.8 KV
moderate
Q4_K_S4.67
17.5 GB
16.7 + 0.8 KV
moderate
Q4_K_M4.89
18.2 GB
17.5 + 0.8 KV
good
Q5_K_S5.57
20.6 GB
19.8 + 0.8 KV
good
Q5_K_M5.7
21.0 GB
20.3 + 0.8 KV
good
Q6_K6.56
24.0 GB
23.3 + 0.8 KV
excellent
Q8_08.5
30.8 GB
30.0 + 0.8 KV
lossless
FP1616
56.8 GB
56.1 + 0.8 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 QWEN3.5-27B 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 (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
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3:27.8b

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.

Apple M3 Pro (18GB)
18 GB VRAM • 150 GB/s
APPLE
$1599
AMD RX 7900 XT
20 GB VRAM • 800 GB/s
AMD
$849
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 Ada 20GB
20 GB VRAM • 432 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10M
20 GB VRAM • 500 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3080 Ti 20 GB
20 GB VRAM • 760 GB/s
NVIDIA
$1199
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD Radeon RX 7900 XT
20 GB VRAM • 800 GB/s
AMD
$899
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 Ada Generation
20 GB VRAM • 360 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4000 SFF Ada Generation
20 GB VRAM • 280 GB/s
NVIDIA
$1250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A4500
20 GB VRAM • 640 GB/s
NVIDIA
$2000
NVIDIA RTX 4090
24 GB VRAM • 1008 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090 Ti
24 GB VRAM • 1008 GB/s
NVIDIA
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$850
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7900 XTX
24 GB VRAM • 960 GB/s
AMD
$999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
NVIDIA A10 24GB
24 GB VRAM • 600 GB/s
NVIDIA
$3500
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
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
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro RTX 6000 Passive
24 GB VRAM • 624 GB/s
NVIDIA
$4000
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3090
24 GB VRAM • 936 GB/s
NVIDIA
$1499
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10 PCIe
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA A10G
24 GB VRAM • 600 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA GeForce RTX 3090 Ti
24 GB VRAM • 1010 GB/s
NVIDIA
$1999
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 4090
24 GB VRAM • 1010 GB/s
NVIDIA
$1599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for Qwen3.5-27B

Build Hardware for Qwen3.5-27B
▸ 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
QUANTBPWVRAMQUALITY
Q3_K_M414.4 GB88%
Q3_K_L4.315.4 GB90%
IQ4_XS4.4616.0 GB92%
Q4_K_S4.6716.7 GB93%
Q4_K_M4.8917.5 GB94%
Q5_K_S5.5719.8 GB96%
Q5_K_M5.720.3 GB96%
Q6_K6.5623.3 GB97%
Q8_08.530.0 GB100%
FP161656.1 GB100%
§ 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
AMD RX 7900 XT
20 GB · 800 GB/s
NVIDIA RTX 4000 Ada 20GB
20 GB · 432 GB/s
NVIDIA A10M
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
NVIDIA L4 24GB
24 GB · 300 GB/s