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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

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
79 vs 76
Hardware Fit
81 vs 73
Quality Score
78 vs 77

Hardware

gemma-4-e2b-it@q5_… glm-4.7-flash:bf16
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

gemma-4-e2b-it@q5_… glm-4.7-flash:bf16
Tokens/sec17.225.8
First chunk7 ms605 ms
TTFT1.6 s605 ms
Load time8.9 s44.2 s
Memory usage0.0 GB57.0 GB
Memory %0%47%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

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

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

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

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma-4-e2b-it@q5_… details | View glm-4.7-flash:bf16 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