FitMyLLM
Alibaba/Dense

AlibabaQwen3-8B

chat
8.2B
Parameters
40K
Context length
16
Benchmarks
6
Quantizations
9.0M
HF downloads
Architecture
Dense
Released
2025-04-28
Layers
36
KV Heads
8
Head Dim
128
Family
qwen

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.895.5 GBgood
Q5_K_S5.576.2 GBgood
Q5_K_M5.76.3 GBgood
Q6_K6.567.2 GBexcellent
Q8_08.59.2 GBlossless
FP161616.9 GBlossless

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

Benchmarks (16)

Arena Elo1462
MATH-50093.2
MATH89.0
HumanEval85.0
IFEval78.0
AIME63.7
AA Math63.7
GPQA Diamond61.2
MMLU-PRO55.0
LiveCodeBench51.3
GPQA45.0
BBH36.6
AA Intelligence16.4
MUSR15.5
AA Coding7.8
HLE5.6

Run this model

Easiest way to get starteddocs →
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen3:8.2b-instruct-q4_k_m

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

Setup guide
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB 9Gbps
6 GB VRAM • 217 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB GDDR5X
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB GP104
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB Rev. 2
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
NVIDIA GeForce GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
NVIDIA GeForce GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
NVIDIA GeForce RTX 2060
6 GB VRAM • 336 GB/s
NVIDIA
$140
NVIDIA GeForce RTX 2060 TU104
6 GB VRAM • 336 GB/s
NVIDIA
$140
AMD Radeon RX 5600 OEM
6 GB VRAM • 288 GB/s
AMD
AMD Radeon RX 5600 XT
6 GB VRAM • 288 GB/s
AMD
$90
AMD Radeon RX 5600M
6 GB VRAM • 288 GB/s
AMD

Find the best GPU for Qwen3-8B

Build Hardware for Qwen3-8B

Qwen3-8B — 8.2B Parameter Dense LLM

Model Specifications

Parameters
8.2B
Architecture
Dense Transformer
Context Length
40K tokens
Capabilities
chat
Release Date
2025-04-28
Provider
Alibaba
Family
qwen

VRAM Requirements

QuantizationBPWVRAMQuality
Q4_K_M4.895.5 GB94%
Q5_K_S5.576.2 GB96%
Q5_K_M5.76.3 GB96%
Q6_K6.567.2 GB97%
Q8_08.59.2 GB100%
FP161616.9 GB100%

Benchmark Scores

HumanEval85.0
MMLU-PRO55.0
MATH89.0
IFEval78.0
BBH36.6
GPQA45.0
MUSR15.5
Arena Elo1462.0
GPQA Diamond61.2
LiveCodeBench51.3
AIME63.7
MATH-50093.2
HLE5.6
AA Intelligence16.4
AA Coding7.8
AA Math63.7

How to Run Qwen3-8B

Run Qwen3-8B locally with Ollama (needs 5.5 GB VRAM at Q4_K_M):

ollama run qwen3:8.2b

Compatible GPUs (30)

GPUs that can run Qwen3-8B at Q4_K_M quantization:

NVIDIA RTX 3050 6GB(6GB, 168 GB/s)Intel Arc A380(6GB, 186 GB/s)NVIDIA RTX 2060 6GB(6GB, 336 GB/s)NVIDIA GTX 1660 SUPER(6GB, 336 GB/s)NVIDIA GTX 1660 Ti(6GB, 288 GB/s)NVIDIA GTX 1060 6GB(6GB, 192 GB/s)NVIDIA Tesla C2070(6GB, 143 GB/s)NVIDIA Tesla C2075(6GB, 150 GB/s)NVIDIA Tesla C2090(6GB, 177 GB/s)NVIDIA Tesla M2070(6GB, 150 GB/s)NVIDIA Tesla M2070-Q(6GB, 150 GB/s)NVIDIA Tesla M2075(6GB, 150 GB/s)NVIDIA Tesla M2090(6GB, 177 GB/s)NVIDIA Tesla X2070(6GB, 177 GB/s)NVIDIA Tesla X2090(6GB, 177 GB/s)