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mlx-community/gemma-3-4b-it-qat-4bit

LM-STUDIO GGUF
Excellent

Mar 5, 2026 · Apple M4

parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score
80 vs 67
Hardware Fit
100 vs 66
Quality Score
71 vs 67

Hardware

mlx-community/gemm… parable-qwen3-4b-c…
MachineMacBook AirGigabyte Technology Co., Ltd. H310M S2 2.0
CPUApple M4Intel Core™ i3-9100F
Cores104
RAM32 GB16 GB
GPUApple M4Virtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSmacOS 26.3Майкрософт Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/gemm… parable-qwen3-4b-c…
Tokens/sec43.24.3
First chunk428 ms13 ms
TTFT428 ms1.9 s
Load timeN/AN/A
Memory usage1.3 GB3.0 GB
Memory %4%19%

HW Fit Score Breakdown

mlx-community/gemma-3-4…

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

parable-qwen3-4b-claude…

Speed
16/50
TTFT
20/20
Memory
30/30

Quality

mlx-community/gemma-3-4…

Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

parable-qwen3-4b-claude…

Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate 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