yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score

70 vs 83

Hardware Fit

89 vs 96

Quality Score

62 vs 78

Hardware

yi-coder:9b google/gemma-4-e4b

MachineMacBook AirASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH

CPUApple M4AMD Ryzen 9 8940HX

Cores1032

RAM32 GB15 GB

GPUApple M4NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M

OSmacOS 26.3Microsoft Windows 11 Home Single Language 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

yi-coder:9b google/gemma-4-e4b

Tokens/sec19.435.9

First chunk287 ms9 ms

TTFT287 ms182 ms

Load time0.7 sN/A

Memory usage9.6 GB6.5 GB

Memory %30%43%

HW Fit Score Breakdown

yi-coder:9b

Speed

39/50

TTFT

20/20

Memory

30/30

google/gemma-4-e4b

Speed

49/50

TTFT

20/20

Memory

27/30

Quality

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

google/gemma-4-e4b

Reasoning

14/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

6/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

View yi-coder:9b details | View google/gemma-4-e4b 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