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liquid/lfm2-24b-a2b

LM-STUDIO GGUF

lfm2moe · 24B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
87 vs 69
Hardware Fit
100 vs 95
Quality Score
82 vs 58

Hardware

liquid/lfm2-24b-a2b ornith-1.5:9b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

liquid/lfm2-24b-a2b ornith-1.5:9b
Tokens/sec80.922.2
First chunk7 ms341 ms
TTFT222 ms341 ms
Load time26.6 s4.8 s
Memory usage32.1 GB7.1 GB
Memory %27%45%

HW Fit Score Breakdown

liquid/lfm2-24b-a2b

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

ornith-1.5:9b

Speed
49/50
TTFT
20/20
Memory
26/30

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

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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