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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
18 vs 65
Hardware Fit
59 vs 92
Quality Score
0 vs 54

Hardware

lfm2-24b-a2b qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4 ProIntel Core™ i7-4771
Cores148
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce GTX 780M
OSmacOS 15.7.4macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b qwen2.5:1.5b
Tokens/sec6.619.6
First chunk1025 ms690 ms
TTFT1.0 s690 ms
Load timeN/A21.4 s
Memory usage0.0 GB1.0 GB
Memory %0%3%

HW Fit Score Breakdown

lfm2-24b-a2b

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

qwen2.5:1.5b

Speed
42/50
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

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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