mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
73 vs 56
Hardware Fit
100 vs 84
Quality Score
62 vs 44
Hardware
mlx-community/Yi-1… llama2:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Yi-1… llama2:13b
Tokens/sec29.113.5
First chunk451 msN/A
TTFT451 ms415 ms
Load timeN/A0.6 s
Memory usage0.9 GB10.3 GB
Memory %3%32%
HW Fit Score Breakdown
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
Quality
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
llama2:13b
Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor 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