Will It Run AI

AlibabaAlibaba

Qwen 2.5 7B

Aktuell
huggingfaceHuggingFaceollamaOllama
12.9MDownloads1.3KLikesSep 2024Veröffentlicht131K TokenKontextApache 2.0Lizenz62 GutQualität

Qwen 2.5 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.

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— kopieren & einfügen, um lokal auszuführen

Copy-paste commands to run Qwen 2.5 7B on your machine.

Run

ollama run qwen2.5

Quick specs

Parameters7B
Architecturedense
Context131K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Chat

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

Intel
Bestes BudgetA
Intel Arc A580 8GB~$179 — 64 tok/s
NVIDIA
Beste GesamtwahlA
RTX 3080 10GB~$699 — 98 tok/s

Beste Hardware

Top-Empfehlungen für Qwen 2.5 7B

NVIDIA
RTX 3080 10GBA
10 GB
NVIDIA
RTX 2080 Ti 11GBA
11 GB
NVIDIA
GTX 1080 Ti 11GBA
11 GB
NVIDIA
RTX 3080 Ti 12GBA
12 GB
NVIDIA
RTX 4070 12GBA
12 GB

Dieses Modell ausführen

Qwen 2.5 7B on RTX 3080 10GBQwen 2.5 7B on RTX 2080 Ti 11GBQwen 2.5 7B on GTX 1080 Ti 11GB

Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Low—
Q3_K_S
3
3.4 GB
Low—
NVFP4
4
3.9 GB
Medium—
Q4_K_M
4
4.3 GB
Medium—
Q5_K_M
5
5.0 GB
High—
Q6_K
6
5.7 GB
High—
Q8_0
8
7.5 GB
Very High—
F16
16
14.3 GB
Maximum—

Quality benchmarks

Qwen 2.5 7B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—
HumanEval+84.8%
Aider Polyglot—
LiveCodeBench28.7%

Reasoning

MMLU-Pro56.3%
GPQA Diamond36.4%
MATH-50075.5%
ARC Challenge—

General

Chatbot Arena—
IFEval71.2%

Source: official · 2024-09-19

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen 2.5 7B

Siehe auch

QuantisierungsleitfadenBewertungsmethodikRechner öffnen