gptoss · 20.9B · MXFP4
OLLAMA GGUFgptoss · 20.9 · MXFP4
Jul 9, 2026 · Intel Core™ i5-10400
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
84 vs 76
Hardware Fit
69 vs 100
Quality Score
91 vs 66
Hardware
gptoss · 20.9B · M… hf.co/empero-ai/Qw…
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M1 Pro
Cores1210
RAM32 GB16 GB
GPUAMD Radeon RX 6700 XTApple M1 Pro
OSmacOS 26.5.1macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
gptoss · 20.9B · M… hf.co/empero-ai/Qw…
Tokens/sec17.540.3
First chunk643 ms101 ms
TTFT7.7 s101 ms
Load time0.0 s2.7 s
Memory usage0.8 GB4.5 GB
Memory %3%28%
HW Fit Score Breakdown
gptoss · 20.9B · MXFP4
Speed
34/50
TTFT
5/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gptoss · 20.9B · MXFP4
Reasoning
19/20
Coding
19/20
Instruction
13/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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
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