qwen3.5-35b-a3b-uncensored-hauhaucs-aggressive
qwen35moe · 35B · Q4_K_M
THINKING MODEL
Mac Studio (Apple M2 Max)
96 GB · macOS 26.1
Tested on April 21, 2026 · Submitted by Frank
Global Score
71 /100
Good
Hardware Fit
92/100
Quality
62/100
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Hardware
- Machine
- Mac Studio
- CPU
- Apple M2 Max
- Cores
- 12 total (8 perf + 4 eff)
- Frequency
- 2.4 GHz
- RAM
- 96 GB LPDDR5
- GPU
- Apple M2 Max
- OS
- macOS 26.1
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 59.8
- Standard deviation
- ±0.1
- First chunk latency
- 12 ms
- Time to first token
- 2.4 s
- Load time
- N/A
- Memory usage
- 29.7 GB (31%)
- Total tokens
- 1734
- Thinking tokens (est.)
- ~597
Score breakdown
Speed
50/50
Time to first token
12/20
Memory
30/30
Quality
Reasoning
18/20
Coding
8/20
Instruction following
13/20
Structured output
6/15
Math
12/15
Multilingual
5/10
Category levels
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Adequate
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.10+1
- Model format
- GGUF
- Hardware profile
- HIGH-END
- Result hash
- 1672ddedd33ac612ef1b2f32383a568532f7d583dbbea41fd1875c8781876e9d
Interpretation
Hardware fit: 92/100. Overall suitability: GOOD (Global 71/100). Category profile: Reasoning: Strong, Coding: Weak, Instruction Following: Adequate, Structured Output: Weak, Math: Strong, Multilingual: Adequate.
Warnings
- Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
Bench Environment
Power: AC CPU load: avg 5% (peak 7%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest