lmstudio-community/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

77 vs 59

Hardware Fit

68 vs 97

Quality Score

81 vs 43

Hardware

lmstudio-community… vicuna:7b

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… vicuna:7b

Tokens/sec11.423.4

First chunk28 msN/A

TTFT2.2 s242 ms

Load time6.8 s0.4 s

Memory usage0.6 GB5.8 GB

Memory %4%18%

HW Fit Score Breakdown

lmstudio-community/gemm…

Speed

21/50

TTFT

17/20

Memory

30/30

vicuna:7b

Speed

37/50

TTFT

30/20

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

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

View lmstudio-community… details | View vicuna:7b 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