vicuna:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 1, 2026 · Apple M4
huihui_ai/Qwen3.8-abliterated:27b
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Aug 25, 2026 · AMD RYZEN AI MAX+ 395
Global Score
59 vs 80
Hardware Fit
84 vs 65
Quality Score
48 vs 87
Hardware
vicuna:13b huihui_ai/Qwen3.8-…
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
vicuna:13b huihui_ai/Qwen3.8-…
Tokens/sec13.417.5
First chunkN/A597 ms
TTFT438 ms597 ms
Load time0.6 s7.1 s
Memory usage10.3 GB17.4 GB
Memory %32%14%
HW Fit Score Breakdown
vicuna:13b
Speed
24/50
TTFT
30/20
Memory
30/30
huihui_ai/Qwen3.8-ablit…
Speed
16/50
TTFT
19/20
Memory
30/30
Quality
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
huihui_ai/Qwen3.8-ablit…
Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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