hf.co/Edge-Quant/Nanbeige4.1-3B-Q8_0-GGUF:Q8_0
llama · 3.93B · unknown
THINKING MODEL
MacBook Pro (Apple M1 Pro)
16 GB · macOS 26.6.2
Tested on August 22, 2026
Global Score
52 /100
Not Rec.
Hardware Fit
75/100
Quality
42/100
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ollama pull hf.co/Edge-Quant/Nanbeige4.1-3B-Q8_0-GGUF:Q8_0 View on Ollama Library
ollama.com/library/hf.co/Edge-Quant/Nanbeige4.1-3B-Q8_0-GGUF
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GGUF versions & quantizations
Hardware
- Machine
- MacBook Pro
- CPU
- Apple M1 Pro
- Cores
- 10 total (8 perf + 2 eff)
- Frequency
- 2.4 GHz
- RAM
- 16 GB LPDDR5
- GPU
- Apple M1 Pro
- OS
- macOS 26.6.2
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 43.5
- Standard deviation
- ±0.0
- First chunk latency
- 225 ms
- Time to first token
- 30.0 s
- Load time
- 2.7 s
- Memory usage
- 8.2 GB (51%)
- Total tokens
- 1445
- Thinking tokens (est.)
- ~930
Score breakdown
Speed
50/50
Time to first token
0/20
Memory
25/30
Quality
Reasoning
13/20
Coding
1/20
Instruction following
7/20
Structured output
1/15
Math
13/15
Multilingual
7/10
Category levels
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Adequate
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.32.14
- Model format
- GGUF
- Hardware profile
- ENTRY
- Result hash
- 656b5498c571c2b7e7b26bb376a6dc2c339967c92c02d9bcac353d51e6f74a74
Interpretation
Hardware fit: 75/100. Overall suitability: NOT RECOMMENDED (Global 52/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Strong, Multilingual: Adequate.
Disqualifiers
- Time to first token too high: 30000ms (maximum: 22068ms for ENTRY profile)
Bench Environment
Power: AC CPU load: avg 37% (peak 38%)
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