deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
lmstudio-community/meta-llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q4_K_M
Mar 5, 2026 · Apple M4 Pro
Global Score
69 vs 78
Hardware Fit
100 vs 100
Quality Score
55 vs 69
Hardware
deepseek-v2:16b lmstudio-community…
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-v2:16b lmstudio-community…
Tokens/sec56.646.0
First chunkN/A245 ms
TTFT239 ms245 ms
Load time1.2 sN/A
Memory usage17.7 GB4.6 GB
Memory %55%7%
HW Fit Score Breakdown
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
lmstudio-community/meta…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
deepseek-v2:16b
Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
lmstudio-community/meta…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong 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