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gemma-3-270m-it-qat-mlx

LM-STUDIO MLX

gemma3_text · 270M · 4bit

Marginal

Mar 4, 2026 · Apple M4

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
43 vs 81
Hardware Fit
99 vs 100
Quality Score
19 vs 73

Hardware

gemma-3-270m-it-qa… llama-3.1-8b-instr…
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB31 GB
GPUApple M4Navi 44 [Radeon RX 9060 XT]
OSmacOS 26.3Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

gemma-3-270m-it-qa… llama-3.1-8b-instr…
Tokens/sec344.235.6
First chunk173 ms52 ms
TTFT173 ms256 ms
Load timeN/AN/A
Memory usage0.3 GB8.6 GB
Memory %1%28%

HW Fit Score Breakdown

gemma-3-270m-it-qat-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

llama-3.1-8b-instruct

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

Quality

gemma-3-270m-it-qat-mlx

Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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