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deepseek-v2:16b

OLLAMA GGUF

deepseek2 · 15.7B · Q4_0

Good

Mar 2, 2026 · Apple M4

qwen2.5-coder-7b-instruct-mlx

LM-STUDIO MLX

qwen2 · 7B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
69 vs 79
Hardware Fit
100 vs 92
Quality Score
55 vs 73

Hardware

deepseek-v2:16b qwen2.5-coder-7b-i…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

deepseek-v2:16b qwen2.5-coder-7b-i…
Tokens/sec56.622.5
First chunkN/A529 ms
TTFT239 ms529 ms
Load time1.2 sN/A
Memory usage17.7 GB4.0 GB
Memory %55%13%

HW Fit Score Breakdown

deepseek-v2:16b

Speed
40/50
TTFT
30/20
Memory
30/30

qwen2.5-coder-7b-instru…

Speed
44/50
TTFT
20/20
Memory
28/30

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

qwen2.5-coder-7b-instru…

Reasoning
10/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View deepseek-v2:16b details | View qwen2.5-coder-7b-i… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest