Back to leaderboard

hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S

OLLAMA GGUF

qwen35 · 27.3B · unknown

Not Rec.

Aug 26, 2026 · Apple M1 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
22 vs 66
Hardware Fit
46 vs 100
Quality Score
12 vs 52

Hardware

hf.co/unsloth/Qwen… hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/unsloth/Qwen… hf.co/empero-ai/Qw…
Tokens/sec6.126.5
First chunk3259 ms447 ms
TTFT3.3 s447 ms
Load time7.0 s3.3 s
Memory usage10.6 GB4.8 GB
Memory %66%30%

HW Fit Score Breakdown

hf.co/unsloth/Qwen3.8-2…

Speed
15/50
TTFT
14/20
Memory
17/30

hf.co/empero-ai/Qwen3.8…

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

Quality

hf.co/unsloth/Qwen3.8-2…

Reasoning
1/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Poor

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View hf.co/unsloth/Qwen… 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