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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

Global Score
18 vs 48
Hardware Fit
59 vs 77
Quality Score
0 vs 35

Hardware

lfm2-24b-a2b qwen3.5:4b
MachineMac miniMac mini
CPUApple M4 ProApple M4
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b qwen3.5:4b
Tokens/sec6.618.9
First chunk1025 ms316 ms
TTFT1.0 s13.0 s
Load timeN/A3.7 s
Memory usage0.0 GB5.9 GB
Memory %0%37%

HW Fit Score Breakdown

lfm2-24b-a2b

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

qwen3.5:4b

Speed
43/50
TTFT
4/20
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

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong
View lfm2-24b-a2b details | View qwen3.5:4b 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