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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

qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
87 vs 69
Hardware Fit
100 vs 100
Quality Score
82 vs 56

Hardware

liquid/lfm2-24b-a2b qwen2.5-1.5b-instr…
MachineGMKtec EVO-X3MacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

liquid/lfm2-24b-a2b qwen2.5-1.5b-instr…
Tokens/sec80.958.1
First chunk7 ms211 ms
TTFT222 ms211 ms
Load time26.6 sN/A
Memory usage32.1 GB1.5 GB
Memory %27%5%

HW Fit Score Breakdown

liquid/lfm2-24b-a2b

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

qwen2.5-1.5b-instruct

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

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

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest