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llama2:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

qwen2.5-coder-1.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
56 vs 70
Hardware Fit
84 vs 100
Quality Score
44 vs 57

Hardware

llama2:13b qwen2.5-coder-1.5b…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

llama2:13b qwen2.5-coder-1.5b…
Tokens/sec13.558.4
First chunkN/A234 ms
TTFT415 ms234 ms
Load time0.6 sN/A
Memory usage10.3 GB1.5 GB
Memory %32%5%

HW Fit Score Breakdown

llama2:13b

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

qwen2.5-coder-1.5b-inst…

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

qwen2.5-coder-1.5b-inst…

Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View llama2:13b details | View qwen2.5-coder-1.5b… 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