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

LM-STUDIO MLX

gemma3_text · 270M · 4bit

Marginal

Mar 4, 2026 · Apple M4

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
43 vs 66
Hardware Fit
99 vs 100
Quality Score
19 vs 52

Hardware

gemma-3-270m-it-qa… hf.co/empero-ai/Qw…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma-3-270m-it-qa… hf.co/empero-ai/Qw…
Tokens/sec344.240.2
First chunk173 ms101 ms
TTFT173 ms101 ms
Load timeN/A2.6 s
Memory usage0.3 GB4.7 GB
Memory %1%30%

HW Fit Score Breakdown

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

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

hf.co/empero-ai/Qwen3.8…

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

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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