Will It Run AI

AlibabaAlibaba

Qwen 2.5 32B

Aktuell
huggingfaceHuggingFaceollamaOllama
939.4KDownloads351LikesSep 2024Veröffentlicht131K TokenKontextApache 2.0Lizenz79 StarkQualität

Qwen 2.5 32B (32B parameters) requires approximately 25.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.

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— kopieren & einfügen, um lokal auszuführen

Copy-paste commands to run Qwen 2.5 32B on your machine.

Run

ollama run qwen2.5

Quick specs

Parameters32B
Architecturedense
Context131K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Code✓ 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
Mac mini M4 64GB~$1,099 — 9 tok/s
NVIDIA
Beste GesamtwahlS
NVIDIA A100 40GB~$10,000 — 72 tok/s

Beste Hardware

Top-Empfehlungen für Qwen 2.5 32B

NVIDIA
NVIDIA A100 40GBS
40 GB
NVIDIA
RTX PRO 5000 Blackwell 48GBS
48 GB
MacBook Pro M4 Max 64GBS
64 GB
NVIDIA
RTX 5090 32GBS
32 GB
NVIDIA
RTX 6000 Ada 48GBS
48 GB

Dieses Modell ausführen

Qwen 2.5 32B on NVIDIA A100 40GBQwen 2.5 32B on RTX PRO 5000 Blackwell 48GBQwen 2.5 32B on MacBook Pro M4 Max 64GB

Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
12.5 GB
Low—
Q3_K_S
3
15.7 GB
Low—
NVFP4
4
17.9 GB
Medium—
Q4_K_M
4
19.5 GB
Medium—
Q5_K_M
5
23.0 GB
High—
Q6_K
6
26.2 GB
High—
Q8_0
8
34.2 GB
Very High—
F16
16
65.6 GB
Maximum—

Quality benchmarks

Qwen 2.5 32B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—
HumanEval+88.4%
Aider Polyglot—
LiveCodeBench51.2%

Reasoning

MMLU-Pro69.0%
GPQA Diamond49.5%
MATH-50083.1%
ARC Challenge—

General

Chatbot Arena—
IFEval79.5%

Source: official · 2024-09-19

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

Rechner öffnen

Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights19.5 GB
KV Cache3.9 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 2.5 32B

Siehe auch

QuantisierungsleitfadenBewertungsmethodikRechner öffnen