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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
18 vs 66
Hardware Fit
59 vs 63
Quality Score
0 vs 67

Hardware

lfm2-24b-a2b deepseek-r1:7b
MachineMac miniGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M4 ProIntel Core™ i5-6500
Cores144
RAM64 GB16 GB
GPUApple M4 ProGP104 [GeForce GTX 1070]
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

lfm2-24b-a2b deepseek-r1:7b
Tokens/sec6.635.6
First chunk1025 ms224 ms
TTFT1.0 s7.5 s
Load timeN/A7.7 s
Memory usage0.0 GB4.6 GB
Memory %0%29%

HW Fit Score Breakdown

lfm2-24b-a2b

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

deepseek-r1:7b

Speed
50/50
TTFT
7/20
Memory
6/30

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

deepseek-r1:7b

Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

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