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wizardlm2:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

Global Score
59 vs 34
Hardware Fit
97 vs 100
Quality Score
43 vs 6

Hardware

wizardlm2:7b microllm-250m:latest
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

wizardlm2:7b microllm-250m:latest
Tokens/sec23.2291.6
First chunkN/A50 ms
TTFT264 ms79 ms
Load time0.6 s0.0 s
Memory usage9.9 GB0.6 GB
Memory %31%2%

HW Fit Score Breakdown

wizardlm2:7b

Speed
37/50
TTFT
30/20
Memory
30/30

microllm-250m:latest

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

microllm-250m:latest

Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View wizardlm2:7b details | View microllm-250m:latest 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