llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
mlx-community/stablelm-2-zephyr-1_6b-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
75 vs 50
Hardware Fit
93 vs 100
Quality Score
67 vs 29
Hardware
llama3.1:8b mlx-community/stab…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b mlx-community/stab…
Tokens/sec20.393.6
First chunkN/A166 ms
TTFT315 ms166 ms
Load time1.1 sN/A
Memory usage10.4 GB0.7 GB
Memory %33%2%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
mlx-community/stablelm-…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
mlx-community/stablelm-…
Reasoning
7/20
Coding
2/20
Instruction
9/20
Structured
3/15
Math
4/15
Multilingual
4/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor 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