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tinyllama

OLLAMA GGUF
Marginal

Mar 6, 2026 · Apple M4

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
43 vs 18
Hardware Fit
100 vs 59
Quality Score
19 vs 0

Hardware

tinyllama lfm2-24b-a2b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

tinyllama lfm2-24b-a2b
Tokens/sec133.46.6
First chunk61 ms1025 ms
TTFT61 ms1.0 s
Load time0.5 sN/A
Memory usage0.2 GB0.0 GB
Memory %1%0%

HW Fit Score Breakdown

tinyllama

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

lfm2-24b-a2b

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

Quality

tinyllama

Reasoning
2/20
Coding
2/20
Instruction
7/20
Structured
5/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

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
View tinyllama details | View lfm2-24b-a2b 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