liquid/lfm2-24b-a2b
LM-STUDIO GGUFlfm2moe · 24B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
87 vs 79
Hardware Fit
100 vs 98
Quality Score
82 vs 71
Hardware
liquid/lfm2-24b-a2b ministral-3:8b
MachineGMKtec EVO-X3Mac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3212
RAM120 GB24 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b ministral-3:8b
Tokens/sec80.941.4
First chunk7 ms257 ms
TTFT222 ms257 ms
Load time26.6 s5.2 s
Memory usage32.1 GB9.0 GB
Memory %27%38%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
liquid/lfm2-24b-a2b
Reasoning
15/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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