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mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 27, 2026 · AMD RYZEN AI MAX+ 395

Global Score
71 vs 88
Hardware Fit
86 vs 100
Quality Score
65 vs 83

Hardware

mistral-nemo:12b lfm2:24b
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

mistral-nemo:12b lfm2:24b
Tokens/sec14.695.4
First chunkN/A202 ms
TTFT371 ms202 ms
Load time1.0 s5.0 s
Memory usage13.3 GB14.3 GB
Memory %42%12%

HW Fit Score Breakdown

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

lfm2:24b

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

Quality

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

lfm2:24b

Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View mistral-nemo:12b details | View lfm2:24b 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