Alibaba/Dense

AlibabaQwen2 Math 1.5B

Qwen2 Math 1.5B — specialized for mathematical reasoning at small scale.

reasoning
1.5B
Parameters
4K
Context length
7
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2024-08-08
Layers
28
KV Heads
2
Head Dim
128
Family
qwen

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.891.4 GBgood
Q5_K_S5.571.5 GBgood
Q5_K_M5.71.6 GBgood
Q6_K6.561.7 GBexcellent
Q8_08.52.1 GBlossless
FP16163.5 GBlossless

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 QWEN2 MATH 1.5B NOW

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Benchmarks (7)

IFEval44.8
BigCodeBench27.0
MATH22.1
MMLU-PRO20.0
BBH19.8
MUSR3.2
GPQA0.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen2-math:1.5b-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

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla D870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla S870
2 GB VRAM • 76.8 GB/s
NVIDIA

Find the best GPU for Qwen2 Math 1.5B

Build Hardware for Qwen2 Math 1.5B

Qwen2 Math 1.5B — specialized for mathematical reasoning at small scale.

▸ SPEC SHEET

Qwen2 Math 1.5B1.5B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.5B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
reasoning
RELEASE DATE
2024-08-08
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.4 GB94%
Q5_K_S5.571.5 GB96%
Q5_K_M5.71.6 GB96%
Q6_K6.561.7 GB97%
Q8_08.52.1 GB100%
FP16163.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO20.0
MATH22.1
IFEval44.8
BBH19.8
MUSR3.2
BigCodeBench27.0
GPQA0.0
§ 02RUN COMMAND

Run Qwen2 Math 1.5B locally with Ollama — needs 1.4 GB VRAM at Q4_K_M:

$ollama run qwen2-math:1.5b