hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
76 vs 60
Hardware Fit
100 vs 80
Quality Score
66 vs 52
Hardware
hf.co/empero-ai/Qw… lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB48 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… lfm2.5-thinking:1.2b
Tokens/sec40.3227.0
First chunk101 ms60 ms
TTFT101 ms30.0 s
Load time2.7 s0.7 s
Memory usage4.5 GB2.6 GB
Memory %28%6%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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