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mlx-community/quantized-gemma-2b-it

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
45 vs 83
Hardware Fit
100 vs 100
Quality Score
21 vs 76

Hardware

mlx-community/quan… qwen3-5-4b-q4-k-m
MachineMacBook AirMac Pro
CPUApple M4Intel Core™ i5-10400
Cores1012
RAM32 GB32 GB
GPUApple M4AMD Radeon RX 6700 XT
OSmacOS 26.3macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/quan… qwen3-5-4b-q4-k-m
Tokens/sec44.462.7
First chunk336 ms278 ms
TTFT336 ms278 ms
Load timeN/A0.0 s
Memory usage0.1 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

mlx-community/quantized…

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

qwen3-5-4b-q4-k-m

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

Quality

mlx-community/quantized…

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

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View mlx-community/quan… details | View qwen3-5-4b-q4-k-m 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