lmstudio-community/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
77 vs 73
Hardware Fit
68 vs 100
Quality Score
81 vs 62
Hardware
lmstudio-community… mlx-community/Yi-1…
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
lmstudio-community… mlx-community/Yi-1…
Tokens/sec11.429.1
First chunk28 ms451 ms
TTFT2.2 s451 ms
Load time6.8 sN/A
Memory usage0.6 GB0.9 GB
Memory %4%3%
HW Fit Score Breakdown
lmstudio-community/gemm…
Speed
21/50
TTFT
17/20
Memory
30/30
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
lmstudio-community/gemm…
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest