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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

mlx-community/gemma-3-4b-it-qat-4bit

LM-STUDIO GGUF
Excellent

Mar 5, 2026 · Apple M4

Global Score
18 vs 80
Hardware Fit
59 vs 100
Quality Score
0 vs 71

Hardware

lfm2-24b-a2b mlx-community/gemm…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b mlx-community/gemm…
Tokens/sec6.643.2
First chunk1025 ms428 ms
TTFT1.0 s428 ms
Load timeN/AN/A
Memory usage0.0 GB1.3 GB
Memory %0%4%

HW Fit Score Breakdown

lfm2-24b-a2b

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

mlx-community/gemma-3-4…

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

mlx-community/gemma-3-4…

Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View lfm2-24b-a2b details | View mlx-community/gemm… 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