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

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score

77 vs 65

Hardware Fit

68 vs 96

Quality Score

81 vs 51

Hardware

lmstudio-community… qwen3-4b-qwen3.6-p…

MachineDocker ContainerMac Studio

CPUIntel Gen Intel® Core™ i9-11900HApple M2 Max

Cores1612

RAM15 GB96 GB

GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Max

OSUbuntu 26.04 LTSmacOS 26.1

Archx64arm64

Power Modeperformancebalanced

Performance

lmstudio-community… qwen3-4b-qwen3.6-p…

Tokens/sec11.499.6

First chunk28 ms18 ms

TTFT2.2 s1.6 s

Load time6.8 s4.8 s

Memory usage0.6 GB0.3 GB

Memory %4%0%

HW Fit Score Breakdown

lmstudio-community/gemm…

Speed

21/50

TTFT

17/20

Memory

30/30

qwen3-4b-qwen3.6-plus-r…

Speed

50/50

TTFT

16/20

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

qwen3-4b-qwen3.6-plus-r…

Reasoning

8/20

Coding

4/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

8/10

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

View lmstudio-community… details | View qwen3-4b-qwen3.6-p… 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