mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
71 vs 73
Hardware Fit
86 vs 100
Quality Score
65 vs 62
Hardware
mistral-nemo:12b mlx-community/Yi-1…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral-nemo:12b mlx-community/Yi-1…
Tokens/sec14.629.1
First chunkN/A451 ms
TTFT371 ms451 ms
Load time1.0 sN/A
Memory usage13.3 GB0.9 GB
Memory %42%3%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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
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