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lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

deepseek-r1:latest

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Not Rec.

Jun 25, 2026 · Cortex-A78AE

Global Score
78 vs 23
Hardware Fit
100 vs 70
Quality Score
68 vs 3

Hardware

lfm2-24b-a2b deepseek-r1:latest
MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4 ProCortex-A78AE
Cores146
RAM64 GB7 GB
GPUApple M4 ProIntegrated / Unknown
OSmacOS 15.7.4Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b deepseek-r1:latest
Tokens/sec105.99.8
First chunk252 ms1206 ms
TTFT252 ms1.2 s
Load timeN/A17.8 s
Memory usage0.1 GB4.8 GB
Memory %0%65%

HW Fit Score Breakdown

lfm2-24b-a2b

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

deepseek-r1:latest

Speed
32/50
TTFT
20/20
Memory
18/30

Quality

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

deepseek-r1:latest

Reasoning
0/20
Coding
1/20
Instruction
0/20
Structured
0/15
Math
2/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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