qwen2.5-coder:7b

qwen2 · 7.6B · Q4_K_M

ASUS (Intel Gen Intel® Core™ i7-13700K)

64 GB · Microsoft Windows 11 Pro 10.0.26200

Tested on March 5, 2026

Top 49% Compare

Global Score

68 /100

Good

Hardware Fit

59/100

Quality

72/100

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Ollama

ollama pull qwen2.5-coder:7b

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ollama.com/library/qwen2.5-coder

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GGUF versions & quantizations

Hardware

Machine: ASUS
CPU: Intel Gen Intel® Core™ i7-13700K
Cores: 24 total (24 perf)
Frequency: 3.4 GHz
RAM: 64 GB DDR5
GPU: NVIDIA GeForce RTX 3070
OS: Microsoft Windows 11 Pro 10.0.26200
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 34.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 2.0 s
Time to first token How fast the model starts responding — lower is better: 2.0 s
Load time Time to load the model into memory before inference: 40.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.0 GB (8%)
Total tokens Total number of tokens generated across all benchmark prompts: 1024

Score breakdown

Speed

38/50

Time to first token

12/20

Memory

9/30

Quality

Reasoning

11/20

Coding

18/20

Instruction following

12/20

Structured output

13/15

Math

9/15

Multilingual

9/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.13.5
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 52a733bc8fa947bc2029cf00c27de6d9964d8fcd68f953c1d69db99e4196f03e

Interpretation

Hardware fit: 59/100. Overall suitability: GOOD (Global 68/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 27% (peak 33%)

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