Back to leaderboard

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
18 vs 80
Hardware Fit
59 vs 93
Quality Score
0 vs 74

Hardware

lfm2-24b-a2b rnj-1:8b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b rnj-1:8b
Tokens/sec6.622.3
First chunk1025 ms404 ms
TTFT1.0 s404 ms
Load timeN/A3.7 s
Memory usage0.0 GB8.3 GB
Memory %0%52%

HW Fit Score Breakdown

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

rnj-1:8b

Speed
49/50
TTFT
20/20
Memory
24/30

Quality

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

rnj-1:8b

Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
View lfm2-24b-a2b details | View rnj-1:8b 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