lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
falcon3-1b-instruct
LM-STUDIO MLXllama · 1B · 3bit
Mar 4, 2026 · Apple M4
Global Score
78 vs 54
Hardware Fit
100 vs 100
Quality Score
68 vs 34
Hardware
lfm2-24b-a2b falcon3-1b-instruct
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 falcon3-1b-instruct
Tokens/sec105.9121.8
First chunk252 ms176 ms
TTFT252 ms176 ms
Load timeN/AN/A
Memory usage0.1 GB0.7 GB
Memory %0%2%
HW Fit Score Breakdown
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
falcon3-1b-instruct
Speed
50/50
TTFT
20/20
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
falcon3-1b-instruct
Reasoning
7/20
Coding
1/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest