lfm2.5:latest

lfm2moe · 8.5B · Q4_K_M

THINKING MODEL

LENOVO 20L7CTO1WW (Intel Core™ i5-8350U)

23 GB · Fedora Linux 44

Tested on June 11, 2026

Top 44% Compare

Global Score

73 /100

Good

Hardware Fit

93/100

Quality

65/100

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Ollama

ollama pull lfm2.5:latest

View on Ollama Library

ollama.com/library/lfm2.5

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GGUF versions & quantizations

Hardware

Machine: LENOVO 20L7CTO1WW
CPU: Intel Core™ i5-8350U
Cores: 8 threads (4 cores)
Frequency: 1.7 GHz
RAM: 23 GB
GPU: Kaby Lake-R GT2 [UHD Graphics 620]
OS: Fedora Linux 44
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 18.3
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: 981 ms
Time to first token How fast the model starts responding — lower is better: 981 ms
Load time Time to load the model into memory before inference: 8.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 4.9 GB (21%)
Total tokens Total number of tokens generated across all benchmark prompts: 1399

Score breakdown

Speed

43/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

2/20

Coding

11/20

Instruction following

14/20

Structured output

13/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.7
Model format: GGUF
Hardware profile: ENTRY
Result hash: 82bafb3b106d30366416b3e8b073e5e6ae3e9a9c769a07d7948682f5bdc2425e

Interpretation

Hardware fit: 93/100. Overall suitability: GOOD (Global 73/100). Category profile: Reasoning: Poor, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Thermal: moderate Power: AC CPU load: avg 49% (peak 55%)

Run yours now

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest