lfm2:24b

lfm2moe · 23.8B · Q4_K_M

AZW GTR Pro (AMD RYZEN AI MAX+ 395)

125 GB · Ubuntu 24.04.4 LTS

Tested on March 7, 2026

Top 5% Compare

Global Score

88 /100

Excellent

Hardware Fit

100/100

Quality

83/100

Get this model

🦙

Ollama

ollama pull lfm2:24b

View on Ollama Library

ollama.com/library/lfm2

Get it in LM Studio

Search and download models directly from the app

🤗

Find on HuggingFace

GGUF versions & quantizations

Hardware

Machine: AZW GTR Pro
CPU: AMD RYZEN AI MAX+ 395
Cores: 32 threads (16 cores)
Frequency: 3 GHz
RAM: 125 GB
GPU: Radeon 8060S
OS: Ubuntu 24.04.4 LTS
Arch: x64
Power Mode: performance

Performance

Tokens/sec Tokens generated per second — higher is better: 85.3
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: 123 ms
Time to first token How fast the model starts responding — lower is better: 123 ms
Load time Time to load the model into memory before inference: 2.9 s
Memory usage RAM consumed during inference — percentage of total system memory: 14.3 GB (12%)
Total tokens Total number of tokens generated across all benchmark prompts: 1028

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

17/20

Instruction following

16/20

Structured output

15/15

Math

11/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: HIGH-END
Result hash: b2fd47f2892dc9ba5fb5edf2bb22dcef406e3cb0c7a5f23ec44f182a08e851e4

Interpretation

Hardware fit: 100/100. Overall suitability: EXCELLENT (Global 88/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Thermal: nominal CPU load: avg 3% (peak 4%)

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