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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
18 vs 75
Hardware Fit
59 vs 64
Quality Score
0 vs 80

Hardware

lfm2-24b-a2b mistral-small:24b
MachineMac miniNVIDIA NVIDIA_DGX_Spark
CPUApple M4 ProCortex-X925
Cores1420
RAM64 GB122 GB
GPUApple M4 ProDevice 2e12
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

lfm2-24b-a2b mistral-small:24b
Tokens/sec6.614.3
First chunk1025 ms327 ms
TTFT1.0 s327 ms
Load timeN/A12.0 s
Memory usage0.0 GB18.5 GB
Memory %0%15%

HW Fit Score Breakdown

lfm2-24b-a2b

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

mistral-small:24b

Speed
14/50
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

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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