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unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

Global Score
75 vs 73
Hardware Fit
74 vs 51
Quality Score
76 vs 83

Hardware

unsloth/gemma-4-e2… llama3.3:70b
MachineDocker ContainerNVIDIA NVIDIA_DGX_Spark
CPUIntel Gen Intel® Core™ i9-11900HCortex-X925
Cores1620
RAM15 GB122 GB
GPUTigerLake-H GT1 [UHD Graphics]Device 2e12
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64arm64
Power Modeperformanceperformance

Performance

unsloth/gemma-4-e2… llama3.3:70b
Tokens/sec13.04.6
First chunk62 ms560 ms
TTFT1.5 s560 ms
Load time7.8 s13.8 s
Memory usage0.0 GB49.5 GB
Memory %0%41%

HW Fit Score Breakdown

unsloth/gemma-4-e2b-it@…

Speed
24/50
TTFT
20/20
Memory
30/30

llama3.3:70b

Speed
4/50
TTFT
20/20
Memory
27/30

Quality

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

llama3.3:70b

Reasoning
17/20
Coding
18/20
Instruction
12/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View unsloth/gemma-4-e2… details | View llama3.3:70b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest