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

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

tinyllama-1.1b-chat-v1.0

LM-STUDIO GGUF

llama · 1.1B · Q3_K_M

Not Rec.

Mar 5, 2026 · Intel Core™ i5-5300U

Global Score

77 vs 33

Hardware Fit

68 vs 76

Quality Score

81 vs 14

Hardware

lmstudio-community… tinyllama-1.1b-cha…

MachineDocker ContainerLENOVO 20BUS00700

CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-5300U

Cores164

RAM15 GB16 GB

GPUTigerLake-H GT1 [UHD Graphics]Intel(R) HD Graphics 5500

OSUbuntu 26.04 LTSMicrosoft Windows 10 Professionnel 10.0.19045

Archx64x64

Power Modeperformancebalanced

Performance

lmstudio-community… tinyllama-1.1b-cha…

Tokens/sec11.49.9

First chunk28 ms3166 ms

TTFT2.2 s3.2 s

Load time6.8 sN/A

Memory usage0.6 GB0.5 GB

Memory %4%3%

HW Fit Score Breakdown

lmstudio-community/gemm…

Speed

21/50

TTFT

17/20

Memory

30/30

tinyllama-1.1b-chat-v1.0

Speed

32/50

TTFT

16/20

Memory

28/30

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

tinyllama-1.1b-chat-v1.0

Reasoning

2/20

Coding

1/20

Instruction

6/20

Structured

2/15

Math

1/15

Multilingual

2/10

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

View lmstudio-community… details | View tinyllama-1.1b-cha… 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