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llama2:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
56 vs 75
Hardware Fit
84 vs 100
Quality Score
44 vs 64

Hardware

llama2:13b exaone-3.5-2.4b-in…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

llama2:13b exaone-3.5-2.4b-in…
Tokens/sec13.537.0
First chunkN/A288 ms
TTFT415 ms288 ms
Load time0.6 sN/A
Memory usage10.3 GB2.4 GB
Memory %32%8%

HW Fit Score Breakdown

llama2:13b

Speed
24/50
TTFT
30/20
Memory
30/30

exaone-3.5-2.4b-instruc…

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

Quality

llama2:13b

Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Strong

exaone-3.5-2.4b-instruc…

Reasoning
9/20
Coding
13/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View llama2:13b details | View exaone-3.5-2.4b-in… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest