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URL: https://willitrunai.com/models/qwen-2.5-coder-32b

โ‡ฑ Qwen 2.5 Coder 32B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ Alibaba
Alibaba

Qwen 2.5 Coder 32B

Current
๐Ÿ‘ huggingface
HuggingFace๐Ÿ‘ ollama
Ollama
1.5MDownloads2.1KLikesNov 2024Released131K tokensContextApache 2.0License66 GoodQuality

Qwen 2.5 Coder 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.

Get started

โ€” copy & paste to run locally

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

Run

ollama run qwen2.5-coder

Quick specs

Parameters32B
Architecturedense
Context131K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
โœ“ Code

About this model

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

  • โ€ขSignificantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training...
  • โ€ขA more comprehensive foundation for real-world applications such as Code Agents. Not only enhancing coding capabilities but also maintaining...
  • โ€ขLong-context Support: up to 128K tokens

Related models

Your hardware

Detecting...

Quick picks

Best budgetA
Mac mini M4 64GB~$1,099 โ€” 9 tok/s
๐Ÿ‘ NVIDIA
Best overallA
NVIDIA A100 40GB~$10,000 โ€” 72 tok/s

Best hardware

Top picks for Qwen 2.5 Coder 32B

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

Run this model

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

Quantization options

VRAM estimates by quant level

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

QuantBitsVRAMQualityFit
Q2_K
2
12.5 GB
Lowโ€”
Q3_K_S
3
15.7 GB
Lowโ€”
NVFP4
4
17.9 GB
Mediumโ€”
Q4_K_M
4
19.5 GB
Mediumโ€”
Q5_K_M
5
23.0 GB
Highโ€”
Q6_K
6
26.2 GB
Highโ€”
Q8_0
8
34.2 GB
Very Highโ€”
F16
16
65.6 GB
Maximumโ€”

Quality benchmarks

Qwen 2.5 Coder 32B benchmark scores

Benchmark verified

Coding

SWE-bench Verified41.0%
HumanEval+87.2%
Aider Polyglotโ€”
LiveCodeBench31.4%

Reasoning

MMLU-Pro62.3%
GPQA Diamond41.8%
MATH-50076.4%
ARC Challengeโ€”

General

Chatbot Arenaโ€”
IFEval79.9%

Source: official ยท 2024-11-12

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

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

Frequently asked questions

FAQ โ€” Qwen 2.5 Coder 32B

See also

Quantization GuideScoring MethodologyVRAM Calculator