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liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Apr 1, 2026 · Apple M4

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
74 vs 85
Hardware Fit
84 vs 77
Quality Score
69 vs 88

Hardware

liquid/lfm2-24b-a2b qwen3.8:27b-bf16
MachineMac miniDell Inc. PowerEdge XE8545
CPUApple M4AMD EPYC 7713 64-Core Processor
Cores10128
RAM24 GB1007 GB
GPUApple M4GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.3Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

liquid/lfm2-24b-a2b qwen3.8:27b-bf16
Tokens/sec51.827.2
First chunk10 ms237 ms
TTFT503 ms237 ms
Load timeN/A43.8 s
Memory usage17.5 GB68.8 GB
Memory %73%7%

HW Fit Score Breakdown

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

qwen3.8:27b-bf16

Speed
27/50
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

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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