hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ2_XXS

qwen35 · 27.3B · unknown

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 22, 2026

Top 96% Compare

Global Score

31 /100

Not Rec.

Hardware Fit

37/100

Quality

28/100

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Ollama

ollama pull hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ2_XXS

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ollama.com/library/hf.co/unsloth/Qwen3.8-27B-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 Tokens generated per second — higher is better: 5.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.7
First chunk latency Delay before the first streamed chunk arrives from runtime: 5.1 s
Time to first token How fast the model starts responding — lower is better: 5.1 s
Load time Time to load the model into memory before inference: 0.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 11.6 GB (72%)
Total tokens Total number of tokens generated across all benchmark prompts: 1639

Score breakdown

Speed

13/50

Time to first token

10/20

Memory

14/30

Quality

Reasoning

9/20

Coding

2/20

Instruction following

1/20

Structured output

1/15

Math

9/15

Multilingual

6/10

Category levels

Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Adequate

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.14
Model format: GGUF
Hardware profile: ENTRY
Result hash: b5667eabcc151025f24bea7e47487708fba8b5e243031b237742e9475ab7f32f

Interpretation

Hardware fit: 37/100. Overall suitability: NOT RECOMMENDED (Global 31/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Poor, Structured Output: Poor, Math: Adequate, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 38% (peak 52%)

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$ metrillm

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