lfm2.5:8b

lfm2moe · 8.5B · Q4_K_M

THINKING MODEL

MacBook Pro (Apple M1 Pro)

16 GB · macOS 26.6.2

Tested on August 24, 2026 · Submitted by AAA

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Global Score

80 /100

Excellent

Hardware Fit

95/100

Quality

73/100

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Ollama

ollama pull lfm2.5:8b

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ollama.com/library/lfm2.5

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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: 98.5
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 167 ms
Time to first token How fast the model starts responding — lower is better: 2.5 s
Load time Time to load the model into memory before inference: 3.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 6.0 GB (37%)
Total tokens Total number of tokens generated across all benchmark prompts: 1423
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~940

Score breakdown

Speed

50/50

Time to first token

17/20

Memory

28/30

Quality

Reasoning

2/20

Coding

12/20

Instruction following

19/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.32.15
Model format: GGUF
Hardware profile: ENTRY
Result hash: 570d9c4ba4e7be4c446d8b04464601173e18527f75c227b0a29114492962e486

Interpretation

Hardware fit: 95/100. Overall suitability: EXCELLENT (Global 80/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 53% (peak 62%)

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Or run without installing: npx metrillm@latest