nous-hermes2:latest

llama · 11B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

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Global Score

71 /100

Good

Hardware Fit

87/100

Quality

60/100

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ollama pull nous-hermes2:latest

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GGUF versions & quantizations

Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 15.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
Time to first token How fast the model starts responding — lower is better: 345 ms
Load time Time to load the model into memory before inference: 0.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 6.6 GB (21%)
Total tokens Total number of tokens generated across all benchmark prompts: 1357

Score breakdown

Speed

27/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

11/20

Coding

9/20

Instruction following

12/20

Structured output

15/15

Math

4/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: f67170ffd471a6cb5bc4408a656f7afafd47d2911db33672ab0632ab59e71442

Interpretation

Hardware fit: 87/100. Overall suitability: GOOD (Global 71/100). Category profile: Reasoning: Adequate, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

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npx metrillm@latest bench

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