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 27, 2026

Top 5% Compare

Global Score

88 /100

Excellent

Hardware Fit

100/100

Quality

83/100

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ollama pull lfm2:24b

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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: 95.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 202 ms
Time to first token How fast the model starts responding — lower is better: 202 ms
Load time Time to load the model into memory before inference: 5.0 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: 1012

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: 316a19bc550761a297b4b8ed702bee866e4056a5bdc09e64e0da8b9c5afc0267

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 2% (peak 2%)

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