Back to leaderboard

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

stablelm2:1.6b

OLLAMA GGUF

stablelm · 2B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
78 vs 45
Hardware Fit
100 vs 100
Quality Score
68 vs 22

Hardware

lfm2-24b-a2b stablelm2:1.6b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b stablelm2:1.6b
Tokens/sec105.993.8
First chunk252 msN/A
TTFT252 ms94 ms
Load timeN/A0.4 s
Memory usage0.1 GB1.1 GB
Memory %0%3%

HW Fit Score Breakdown

lfm2-24b-a2b

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

stablelm2:1.6b

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

stablelm2:1.6b

Reasoning
4/20
Coding
7/20
Instruction
6/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View lfm2-24b-a2b details | View stablelm2:1.6b 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