Will It Run AI

AlibabaAlibaba

Qwen 2.5 72B

Aktuell
huggingfaceHuggingFaceollamaOllama
887.8KDownloads942LikesSep 2024Veröffentlicht131K TokenKontextApache 2.0Lizenz73 StarkQualität

Qwen 2.5 72B (72B parameters) requires approximately 50.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 59 GB of VRAM.

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— kopieren & einfügen, um lokal auszuführen

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

Run

ollama run qwen2.5:72b

Quick specs

Parameters72B
Architecturedense
Context131K tokens
Modalitytext
Min RAM28.1 GB
Rec. RAM43.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat✓ Reasoning

About this model

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

  • •Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models...
  • •Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g,...
  • •Long-context Support: up to 128K tokens and can generate up to 8K tokens
  • •Multilingual support: for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean,...

Verwandte Modelle

Deine Hardware

Erkennung...

Schnellauswahl

Bestes BudgetA
MacBook Pro M4 Max 96GB~$2,499 — 15 tok/s
NVIDIA
Beste GesamtwahlS
NVIDIA H100 80GB~$40,000 — 70 tok/s

Beste Hardware

Top-Empfehlungen für Qwen 2.5 72B

NVIDIA
NVIDIA H100 80GBS
80 GB
NVIDIA
NVIDIA H800 80GBS
80 GB
NVIDIA
NVIDIA GH200 96GBS
96 GB
NVIDIA
NVIDIA H20 96GBS
96 GB
NVIDIA
NVIDIA A100 80GBS
80 GB

Dieses Modell ausführen

Qwen 2.5 72B on NVIDIA H100 80GBQwen 2.5 72B on NVIDIA H800 80GBQwen 2.5 72B on NVIDIA GH200 96GB

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 72B benchmark scores

Benchmark verified

Coding

SWE-bench Verified32.8%
HumanEval+86.6%
Aider Polyglot—
LiveCodeBench55.5%

Reasoning

MMLU-Pro71.1%
GPQA Diamond49.0%
MATH-50083.1%
ARC Challenge—

General

Chatbot Arena—
IFEval84.1%

Source: official · 2024-09-19

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

Rechner öffnen

Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights43.9 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 2.5 72B

Siehe auch

QuantisierungsleitfadenBewertungsmethodikRechner öffnen