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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

hf.co/LiquidAI/LFM2.5-2.6B-GGUF:F16

OLLAMA GGUF

lfm2 · 2.7B · unknown

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
36 vs 61
Hardware Fit
100 vs 97
Quality Score
8 vs 46

Hardware

qwen36-distill-apex hf.co/LiquidAI/LFM…
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M1 Pro
Cores1810
RAM64 GB16 GB
GPUApple M5 MaxApple M1 Pro
OSmacOS 27.0macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex hf.co/LiquidAI/LFM…
Tokens/sec55.231.3
First chunk210 ms131 ms
TTFT210 ms131 ms
Load time4.8 s4.2 s
Memory usage0.9 GB6.6 GB
Memory %2%41%

HW Fit Score Breakdown

qwen36-distill-apex

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

hf.co/LiquidAI/LFM2.5-2…

Speed
50/50
TTFT
20/20
Memory
27/30

Quality

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

hf.co/LiquidAI/LFM2.5-2…

Reasoning
14/20
Coding
13/20
Instruction
3/20
Structured
0/15
Math
14/15
Multilingual
2/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View qwen36-distill-apex details | View hf.co/LiquidAI/LFM… details

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