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qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
59 vs 75
Hardware Fit
100 vs 64
Quality Score
41 vs 80

Hardware

qwen2.5-coder:0.5b mistral-small:24b
MachineFUJITSU ESPRIMO Q920NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-4590TCortex-X925
Cores420
RAM16 GB122 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterDevice 2e12
OSMicrosoft Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

qwen2.5-coder:0.5b mistral-small:24b
Tokens/sec43.714.3
First chunk290 ms327 ms
TTFT290 ms327 ms
Load time1.4 s12.0 s
Memory usage0.9 GB18.5 GB
Memory %6%15%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

Speed
50/50
TTFT
20/20
Memory
30/30

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5-coder:0.5b

Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest