codellama:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 1, 2026 · Apple M4

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Global Score

63 vs 81

Hardware Fit

97 vs 90

Quality Score

49 vs 77

Hardware

codellama:7b gemma-4-e2b-it-qat

MachineMacBook AirDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM32 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

codellama:7b gemma-4-e2b-it-qat

Tokens/sec23.622.2

First chunkN/A67 ms

TTFT297 ms1.1 s

Load time0.9 s5.4 s

Memory usage12.6 GB0.0 GB

Memory %39%0%

HW Fit Score Breakdown

codellama:7b

Speed

37/50

TTFT

30/20

Memory

30/30

gemma-4-e2b-it-qat

Speed

40/50

TTFT

20/20

Memory

30/30

Quality

codellama:7b

Reasoning

6/20

Coding

7/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

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

gemma-4-e2b-it-qat

Reasoning

10/20

Coding

17/20

Instruction

17/20

Structured

15/15

Math

8/15

Multilingual

10/10

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

View codellama:7b details | View gemma-4-e2b-it-qat 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