devstral:latest

llama · 23.6B · Q4_K_M

Gigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4 (Intel Core™ i5-14400F)

32 GB · Microsoft Windows 11 Professionnel 10.0.26200

Tested on September 15, 2026 · Submitted by ichido

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Global Score

80 /100

Excellent

Hardware Fit

79/100

Quality

80/100

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ollama pull devstral:latest

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ollama.com/library/devstral

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GGUF versions & quantizations

Hardware

Machine: Gigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPU: Intel Core™ i5-14400F
Cores: 16 total (16 perf)
Frequency: 2.5 GHz
RAM: 32 GB DDR4
GPU: NVIDIA GeForce RTX 5060 Ti
OS: Microsoft Windows 11 Professionnel 10.0.26200
Arch: x64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 20.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 146 ms
Time to first token How fast the model starts responding — lower is better: 146 ms
Load time Time to load the model into memory before inference: 6.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 14.2 GB (45%)
Total tokens Total number of tokens generated across all benchmark prompts: 7204

Score breakdown

Speed

33/50

Time to first token

20/20

Memory

26/30

Quality

Reasoning

16/20

Coding

17/20

Instruction following

13/20

Structured output

15/15

Math

9/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: BALANCED
Result hash: 20f3a6f3769d9ff393f9906e42cff9e01e2bcb1884baaaf14d9fb13feb11916c

Interpretation

Hardware fit: 79/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 67% (peak 68%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest