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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Qwen 2.5 Coder 7B

AlibabaAlibaba

Qwen 2.5 Coder 7B

Current
huggingfaceHuggingFaceollamaOllama
2.3MDownloads668LikesSep 2024Released131K tokensContextApache 2.0License3 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run qwen-2.5-coder-7b
HuggingFace
huggingface-cli download qwen-2.5-coder-7b

Quick specs

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

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

Related models

Your hardware

Detecting...

Quick picks

Intel
Best budgetC
Intel Arc B580 12GB~$249 — 51 tok/s
NVIDIA
Best overallB
RTX 3080 10GB~$699 — 135 tok/s

Best hardware

Top picks for Qwen 2.5 Coder 7B

NVIDIA
RTX 3080 10GBB
10 GB
NVIDIA
RTX 2080 Ti 11GBB
11 GB
NVIDIA
GTX 1080 Ti 11GBC
11 GB
NVIDIA
RTX 3080 12GBC
12 GB
NVIDIA
RTX 3080 Ti 12GBC
12 GB

Quantization options

VRAM estimates by quant level

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 Coder 7B benchmark scores

Benchmark verified

Coding

SWE-bench Verified22.0%
HumanEval+84.1%
Aider Polyglot—
LiveCodeBench37.6%

Reasoning

MMLU-Pro45.6%
GPQA Diamond35.6%
MATH-50066.8%
ARC Challenge—

General

Chatbot Arena—
IFEval58.6%

Source: official · 2024-11-12

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights4.3 GB
KV Cache1.1 GB
Runtime0.9 GB
Headroom2.4 GB