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liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Mar 19, 2026 · Apple M4

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

Global Score
74 vs 62
Hardware Fit
84 vs 100
Quality Score
69 vs 46

Hardware

liquid/lfm2-24b-a2b qwen3.5:0.8b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

liquid/lfm2-24b-a2b qwen3.5:0.8b
Tokens/sec58.967.6
First chunk28 ms209 ms
TTFT481 ms209 ms
Load timeN/A1.9 s
Memory usage17.5 GB2.6 GB
Memory %73%8%

HW Fit Score Breakdown

liquid/lfm2-24b-a2b

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

qwen3.5:0.8b

Speed
50/50
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

qwen3.5:0.8b

Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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