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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

Global Score
81 vs 73
Hardware Fit
84 vs 100
Quality Score
79 vs 62

Hardware

google/gemma-4-e4b mlx-community/Yi-1…
MachineGMKtec EVO-X3MacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b mlx-community/Yi-1…
Tokens/sec47.329.1
First chunk23 ms451 ms
TTFT1.9 s451 ms
Load timeN/AN/A
Memory usage13.2 GB0.9 GB
Memory %11%3%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
44/50
TTFT
10/20
Memory
30/30

mlx-community/Yi-1.5-6B…

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

mlx-community/Yi-1.5-6B…

Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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