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gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
76 vs 65
Hardware Fit
51 vs 92
Quality Score
87 vs 54

Hardware

gemma-3-27b-it-qat qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4 ProIntel Core™ i7-4771
Cores148
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce GTX 780M
OSmacOS 15.7.4macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

gemma-3-27b-it-qat qwen2.5:1.5b
Tokens/sec8.919.6
First chunk3976 ms690 ms
TTFT4.0 s690 ms
Load timeN/A21.4 s
Memory usage15.7 GB1.0 GB
Memory %25%3%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
Memory
30/30

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

Quality

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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