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URL: https://willitrunai.com/models/qwen-2.5-7b

โ‡ฑ Qwen 2.5 7B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ Alibaba
Alibaba

Qwen 2.5 7B

Current
๐Ÿ‘ huggingface
HuggingFace๐Ÿ‘ ollama
Ollama
12.7MDownloads1.4KLikesSep 2024Released131K tokensContextApache 2.0License62 GoodQuality

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.

Get started

โ€” copy & paste to run locally

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
โœ“ 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:

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

Related models

Your hardware

Detecting...

Quick picks

๐Ÿ‘ Intel
Best budgetA
Intel Arc A580 8GB~$179 โ€” 64 tok/s
๐Ÿ‘ NVIDIA
Best overallA
RTX 3080 10GB~$699 โ€” 98 tok/s

Best hardware

Top picks for Qwen 2.5 7B

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

Run this model

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

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Lowโ€”
Q3_K_S
3
3.4 GB
Lowโ€”
NVFP4
4
3.9 GB
Mediumโ€”
Q4_K_M
4
4.3 GB
Mediumโ€”
Q5_K_M
5
5.0 GB
Highโ€”
Q6_K
6
5.7 GB
Highโ€”
Q8_0
8
7.5 GB
Very Highโ€”
F16
16
14.3 GB
Maximumโ€”

Quality benchmarks

Qwen 2.5 7B benchmark scores

Benchmark verified

Coding

SWE-bench Verifiedโ€”
HumanEval+84.8%
Aider Polyglotโ€”
LiveCodeBench28.7%

Reasoning

MMLU-Pro56.3%
GPQA Diamond36.4%
MATH-50075.5%
ARC Challengeโ€”

General

Chatbot Arenaโ€”
IFEval71.2%

Source: official ยท 2024-09-19

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

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

Frequently asked questions

FAQ โ€” Qwen 2.5 7B

See also

Quantization GuideScoring MethodologyVRAM Calculator