Qwen3.8-27B-UD-Q3_K_XL
OLLAMA GGUFllama · 27.3B · Q4_K
Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
90 vs 60
Hardware Fit
97 vs 80
Quality Score
87 vs 52
Hardware
Qwen3.8-27B-UD-Q3_… lfm2.5-thinking:1.2b
Machine—MacBook Pro
CPUIntel Gen Intel® Core™ i5-12600KApple M4 Pro
Cores1614
RAM31 GB48 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 26.4.1
Archx64arm64
Power Modelow-powerbalanced
Performance
Qwen3.8-27B-UD-Q3_… lfm2.5-thinking:1.2b
Tokens/sec39.0227.0
First chunk305 ms60 ms
TTFT305 ms30.0 s
Load time0.0 s0.7 s
Memory usage12.5 GB2.6 GB
Memory %41%6%
HW Fit Score Breakdown
Qwen3.8-27B-UD-Q3_K_XL
Speed
50/50
TTFT
20/20
Memory
27/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
Qwen3.8-27B-UD-Q3_K_XL
Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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