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gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 8.95B · unknown

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
79 vs 87
Hardware Fit
81 vs 95
Quality Score
78 vs 83

Hardware

gemma-4-e2b-it@q5_… hf.co/ornith-ai/Or…
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it@q5_… hf.co/ornith-ai/Or…
Tokens/sec17.222.2
First chunk7 ms334 ms
TTFT1.6 s334 ms
Load time8.9 s3.3 s
Memory usage0.0 GB6.9 GB
Memory %0%43%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

hf.co/ornith-ai/Ornith-…

Speed
48/50
TTFT
20/20
Memory
27/30

Quality

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
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

hf.co/ornith-ai/Ornith-…

Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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