wizardlm2:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

Global Score

59 vs 63

Hardware Fit

97 vs 100

Quality Score

43 vs 47

Hardware

wizardlm2:7b llama3.2:1b

MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4Cortex-A78AE

Cores106

RAM32 GB7 GB

GPUApple M4Integrated / Unknown

OSmacOS 26.3Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

wizardlm2:7b llama3.2:1b

Tokens/sec23.240.2

First chunkN/A1087 ms

TTFT264 ms1.1 s

Load time0.6 s6.2 s

Memory usage9.9 GB1.4 GB

Memory %31%19%

HW Fit Score Breakdown

wizardlm2:7b

Speed

37/50

TTFT

30/20

Memory

30/30

llama3.2:1b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

wizardlm2:7b

Reasoning

6/20

Coding

11/20

Instruction

10/20

Structured

4/15

Math

4/15

Multilingual

8/10

Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Strong

llama3.2:1b

Reasoning

4/20

Coding

9/20

Instruction

14/20

Structured

13/15

Math

1/15

Multilingual

6/10

Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

View wizardlm2:7b details | View llama3.2:1b 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