qwen2.5-vl:7b
OLLAMA GGUFqwen2vl · 7.6B · Q4_K_M
Nov 8, 2026 · AMD Ryzen 7 8845HS
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
84 vs 76
Hardware Fit
100 vs 100
Quality Score
77 vs 66
Hardware
qwen2.5-vl:7b hf.co/empero-ai/Qw…
MachineLENOVO 83DHMacBook Pro
CPUAMD Ryzen 7 8845HSApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M1 Pro
OSMicrosoft Windows 11 Home Single Language 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-vl:7b hf.co/empero-ai/Qw…
Tokens/sec29.940.3
First chunk89 ms101 ms
TTFT89 ms101 ms
Load time10.9 s2.7 s
Memory usage4.8 GB4.5 GB
Memory %31%28%
HW Fit Score Breakdown
qwen2.5-vl: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-vl:7b
Reasoning
16/20
Coding
14/20
Instruction
13/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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