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lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
78 vs 70
Hardware Fit
100 vs 94
Quality Score
68 vs 60

Hardware

lfm2-24b-a2b mistral:7b
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 mistral:7b
Tokens/sec105.922.5
First chunk252 ms252 ms
TTFT252 ms252 ms
Load timeN/A0.7 s
Memory usage0.1 GB10.1 GB
Memory %0%32%

HW Fit Score Breakdown

lfm2-24b-a2b

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

mistral:7b

Speed
44/50
TTFT
20/20
Memory
30/30

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

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View lfm2-24b-a2b details | View mistral:7b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest