mlx-community/Llama-3.2-1B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
tinyllama:1.1b
OLLAMA GGUFllama · 1B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
57 vs 43
Hardware Fit
100 vs 100
Quality Score
39 vs 19
Hardware
mlx-community/Llam… tinyllama:1.1b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Llam… tinyllama:1.1b
Tokens/sec126.4121.0
First chunk139 msN/A
TTFT139 ms82 ms
Load timeN/A0.4 s
Memory usage0.3 GB0.7 GB
Memory %1%2%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
tinyllama:1.1b
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
tinyllama:1.1b
Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak
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