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Qwen 2.5 Math 72B

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1.2KDownloads30LikesSep 2024Veröffentlicht4K TokenKontextApache 2.0Lizenz34 BasisQualität

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.

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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. > >

Verwandte Modelle

Deine Hardware

Erkennung...

Schnellauswahl

Beste Hardware

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

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

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

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

Häufig gestellte Fragen

FAQ — Qwen 2.5 Math 72B

Siehe auch