lfm2.5-thinking:1.2b

lfm2 · 1.2B · Q4_K_M

THINKING MODEL

MacBook Pro (Apple M4 Pro)

48 GB · macOS 26.4.1

Tested on May 25, 2026 · Submitted by jc_code

Top 72% Compare

Global Score

60 /100

Not Rec.

Hardware Fit

80/100

Quality

52/100

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Ollama

ollama pull lfm2.5-thinking:1.2b

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ollama.com/library/lfm2.5-thinking

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GGUF versions & quantizations

Hardware

Machine: MacBook Pro
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 48 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 26.4.1
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 227.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 60 ms
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 0.7 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.6 GB (6%)
Total tokens Total number of tokens generated across all benchmark prompts: 1436
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~940

Score breakdown

Speed

50/50

Time to first token

0/20

Memory

30/30

Quality

Reasoning

8/20

Coding

6/20

Instruction following

10/20

Structured output

7/15

Math

12/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.24.0
Model format: GGUF
Hardware profile: BALANCED
Result hash: 716ddd30167ae903a8bdd7e40f7fe47786724183d4f48388c16748c995eab645

Interpretation

Hardware fit: 80/100. Overall suitability: NOT RECOMMENDED (Global 60/100). Category profile: Reasoning: Weak, Coding: Weak, Instruction Following: Adequate, Structured Output: Weak, Math: Strong, Multilingual: Strong.

Disqualifiers

Time to first token too high: 30000ms (maximum: 17841ms for BALANCED profile)

Bench Environment

Power: AC CPU load: avg 8% (peak 9%)

Run yours now

$ npm install -g metrillm@latest

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Or run without installing: npx metrillm@latest