vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score

59 vs 70

Hardware Fit

97 vs 93

Quality Score

43 vs 60

Hardware

vicuna:7b qwen3.5-2b-mlx

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

vicuna:7b qwen3.5-2b-mlx

Tokens/sec23.432.9

First chunkN/A3096 ms

TTFT242 ms3.1 s

Load time0.4 sN/A

Memory usage5.8 GB2.5 GB

Memory %18%8%

HW Fit Score Breakdown

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

qwen3.5-2b-mlx

Speed

50/50

TTFT

13/20

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

qwen3.5-2b-mlx

Reasoning

11/20

Coding

9/20

Instruction

14/20

Structured

14/15

Math

3/15

Multilingual

9/10

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

View vicuna:7b details | View qwen3.5-2b-mlx 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