qwen2.5:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
85 vs 76
Hardware Fit
100 vs 100
Quality Score
79 vs 66
Hardware
qwen2.5:7b hf.co/empero-ai/Qw…
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M1 Pro
Cores2410
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:7b hf.co/empero-ai/Qw…
Tokens/sec52.140.3
First chunk41 ms101 ms
TTFT41 ms101 ms
Load time2.1 s2.7 s
Memory usage4.4 GB4.5 GB
Memory %14%28%
HW Fit Score Breakdown
qwen2.5:7b
Speed
50/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5:7b
Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate 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