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mlx-community/gemma-3-1b-it-8bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
72 vs 70
Hardware Fit
99 vs 89
Quality Score
61 vs 62

Hardware

mlx-community/gemm… yi-coder:9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/gemm… yi-coder:9b
Tokens/sec86.319.4
First chunk253 ms287 ms
TTFT253 ms287 ms
Load timeN/A0.7 s
Memory usage1.1 GB9.6 GB
Memory %4%30%

HW Fit Score Breakdown

mlx-community/gemma-3-1…

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

yi-coder:9b

Speed
39/50
TTFT
20/20
Memory
30/30

Quality

mlx-community/gemma-3-1…

Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak 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