Will It Run AI

AlibabaAlibaba

Qwen 2.5 Math 72B

Frontera
1.2KDescargas30Me gustaSep 2024Publicado4K tokensContextoApache 2.0Licencia34 BásicoCalidad

Qwen 2.5 Math 72B (72B parameters) requires approximately 50.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 58 GB of VRAM.

Comenzar

— copia y pega para ejecutar en local

Copy-paste commands to run Qwen 2.5 Math 72B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "Qwen/Qwen2.5-Math-72B-Instruct" \ --hf-file "Qwen2.5-Math-72B-Instruct-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters72B
Architecturedense
Context4K tokens
Modalitytext
Min RAM28.1 GB
Rec. RAM43.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
Reasoning

About this model

> [!Warning] > > > 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. > >

Modelos relacionados

Tu hardware

Detectando...

Selecciones rápidas

Mejor hardware

Mejores opciones para Qwen 2.5 Math 72B

Ejecutar este modelo

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
28.1 GB
Low
Q3_K_S
3
35.3 GB
Low
NVFP4
4
40.3 GB
Medium
Q4_K_M
4
43.9 GB
Medium
Q5_K_M
5
51.8 GB
High
Q6_K
6
59.0 GB
High
Q8_0
8
77.0 GB
Very High
F16
16
147.6 GB
Maximum

Quality benchmarks

Qwen 2.5 Math 72B benchmark scores

Benchmark verified

Reasoning

MMLU-Pro42.4%
GPQA Diamond10.9%
MATH-50087.8%
ARC Challenge

General

Chatbot Arena
IFEval40.0%

Source: official · 2024-09-19

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

Abrir calculadora

Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights43.9 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Qwen 2.5 Math 72B

Ver también