Back to leaderboard

lfm2.5:latest

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Good

Jun 11, 2026 · Intel Core™ i5-8350U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
73 vs 89
Hardware Fit
93 vs 95
Quality Score
65 vs 87

Hardware

lfm2.5:latest qwen/qwen3-8b
MachineLENOVO 20L7CTO1WWMac mini
CPUIntel Core™ i5-8350UApple M4 Pro
Cores814
RAM23 GB64 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro
OSFedora Linux 44macOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

lfm2.5:latest qwen/qwen3-8b
Tokens/sec18.333.4
First chunk981 ms257 ms
TTFT981 ms257 ms
Load time8.0 sN/A
Memory usage4.9 GB4.3 GB
Memory %21%7%

HW Fit Score Breakdown

lfm2.5:latest

Speed
43/50
TTFT
20/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

lfm2.5:latest

Reasoning
2/20
Coding
11/20
Instruction
14/20
Structured
13/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View lfm2.5:latest details | View qwen/qwen3-8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest