Back to leaderboard

winnow-12b

LM-STUDIO GGUF

gemma4 · 12B · Q8_0

Good

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
77 vs 76
Hardware Fit
38 vs 100
Quality Score
93 vs 66

Hardware

winnow-12b hf.co/empero-ai/Qw…
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

winnow-12b hf.co/empero-ai/Qw…
Tokens/sec12.940.3
First chunk19 ms101 ms
TTFT9.7 s101 ms
Load time86.2 s2.7 s
Memory usage51.3 GB4.5 GB
Memory %43%28%

HW Fit Score Breakdown

winnow-12b

Speed
11/50
TTFT
0/20
Memory
27/30

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

winnow-12b

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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
View winnow-12b details | View hf.co/empero-ai/Qw… details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest