mistral:7b
OLLAMA GGUFllama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
72 vs 66
Hardware Fit
95 vs 100
Quality Score
62 vs 52
Hardware
mistral:7b hf.co/empero-ai/Qw…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b hf.co/empero-ai/Qw…
Tokens/sec22.026.5
First chunkN/A447 ms
TTFT261 ms447 ms
Load time0.7 s3.3 s
Memory usage10.1 GB4.8 GB
Memory %32%30%
HW Fit Score Breakdown
mistral:7b
Speed
35/50
TTFT
30/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
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