lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
18 vs 88
Hardware Fit
59 vs 70
Quality Score
0 vs 96
Hardware
lfm2-24b-a2b qwen3.8-27b-fable-…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Max
Cores1416
RAM64 GB128 GB
GPUApple M4 ProApple M4 Max
OSmacOS 15.7.4macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2-24b-a2b qwen3.8-27b-fable-…
Tokens/sec6.630.4
First chunk1025 ms27 ms
TTFT1.0 s4.4 s
Load timeN/AN/A
Memory usage0.0 GB19.9 GB
Memory %0%16%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
9/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
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
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest