vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3-vl:2b

OLLAMA GGUF

qwen3vl · 2.1B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

59 vs 62

Hardware Fit

97 vs 99

Quality Score

43 vs 46

Hardware

vicuna:7b qwen3-vl:2b

MachineMacBook AirAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395

Cores1032

RAM32 GB125 GB

GPUApple M4AMD Radeon 8060S

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

vicuna:7b qwen3-vl:2b

Tokens/sec23.4127.4

First chunkN/A101 ms

TTFT242 ms630 ms

Load time0.4 s5.9 s

Memory usage5.8 GB33.2 GB

Memory %18%27%

HW Fit Score Breakdown

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

qwen3-vl:2b

Speed

50/50

TTFT

19/20

Memory

30/30

Quality

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

qwen3-vl:2b

Reasoning

7/20

Coding

0/20

Instruction

11/20

Structured

7/15

Math

13/15

Multilingual

8/10

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

View vicuna:7b details | View qwen3-vl:2b details

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