qwen2.5-coder:0.5b
OLLAMA GGUFqwen2 · 494.03M · Q4_K_M
Nov 13, 2026 · Intel Core™ i5-4590T
qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
59 vs 85
Hardware Fit
100 vs 77
Quality Score
41 vs 88
Hardware
qwen2.5-coder:0.5b qwen3.8:27b-bf16
MachineFUJITSU ESPRIMO Q920Dell Inc. PowerEdge XE8545
CPUIntel Core™ i5-4590TAMD EPYC 7713 64-Core Processor
Cores4128
RAM16 GB1007 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 10 Pro 10.0.19045Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown
Performance
qwen2.5-coder:0.5b qwen3.8:27b-bf16
Tokens/sec43.727.2
First chunk290 ms237 ms
TTFT290 ms237 ms
Load time1.4 s43.8 s
Memory usage0.9 GB68.8 GB
Memory %6%7%
HW Fit Score Breakdown
qwen2.5-coder:0.5b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8:27b-bf16
Speed
27/50
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
qwen3.8:27b-bf16
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest