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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
18 vs 33
Hardware Fit
59 vs 100
Quality Score
0 vs 4

Hardware

lfm2-24b-a2b microllm-10m:latest
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1412
RAM64 GB24 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b microllm-10m:latest
Tokens/sec6.61544.8
First chunk1025 ms12 ms
TTFT1.0 s12 ms
Load timeN/A0.0 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

microllm-10m:latest

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

Quality

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

microllm-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View lfm2-24b-a2b details | View microllm-10m: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