liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Jun 17, 2026 · ZHAOXIN KaiXian KX-7000 KaiXian KX-7000
Global Score
74 vs 65
Hardware Fit
84 vs 87
Quality Score
69 vs 56
Hardware
liquid/lfm2-24b-a2b qwen2.5:1.5b
MachineMac miniShanghai Zhaoxin Semiconductor Co., Ltd. ZXE CRB
CPUApple M4ZHAOXIN KaiXian KX-7000 KaiXian KX-7000
Cores108
RAM24 GB30 GB
GPUApple M4ZX C-1190
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b qwen2.5:1.5b
Tokens/sec58.916.8
First chunk28 ms941 ms
TTFT481 ms941 ms
Load timeN/A0.2 s
Memory usage17.5 GB1.0 GB
Memory %73%3%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
qwen2.5:1.5b
Speed
37/50
TTFT
20/20
Memory
30/30
Quality
liquid/lfm2-24b-a2b
Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
qwen2.5:1.5b
Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate 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