qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
53 vs 66
Hardware Fit
89 vs 100
Quality Score
38 vs 52
Hardware
qwen3.5-0.8b-mlx hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx hf.co/empero-ai/Qw…
Tokens/sec52.926.5
First chunk4013 ms447 ms
TTFT4.0 s447 ms
Load timeN/A3.3 s
Memory usage0.6 GB4.8 GB
Memory %1%30%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
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
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