hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S
OLLAMA GGUFqwen35 · 27.3B · unknown
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
46 vs 60
Hardware Fit
50 vs 80
Quality Score
44 vs 52
Hardware
hf.co/unsloth/Qwen… 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/unsloth/Qwen… lfm2.5-thinking:1.2b
Tokens/sec6.0227.0
First chunk2377 ms60 ms
TTFT2.2 s30.0 s
Load time6.8 s0.7 s
Memory usage10.6 GB2.6 GB
Memory %66%6%
HW Fit Score Breakdown
hf.co/unsloth/Qwen3.8-2…
Speed
15/50
TTFT
18/20
Memory
17/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
hf.co/unsloth/Qwen3.8-2…
Reasoning
8/20
Coding
5/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
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