rnj-1:8b
OLLAMA GGUFgemma3 · 8.3B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
80 vs 88
Hardware Fit
93 vs 70
Quality Score
74 vs 96
Hardware
rnj-1:8b qwen3.8-27b-fable-…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M1 ProApple M4 Max
OSmacOS 26.6.2macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
rnj-1:8b qwen3.8-27b-fable-…
Tokens/sec22.330.4
First chunk404 ms27 ms
TTFT404 ms4.4 s
Load time3.7 sN/A
Memory usage8.3 GB19.9 GB
Memory %52%16%
HW Fit Score Breakdown
rnj-1:8b
Speed
49/50
TTFT
20/20
Memory
24/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
Quality
rnj-1:8b
Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong 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