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unsloth/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Good

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

mistral-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
79 vs 75
Hardware Fit
69 vs 64
Quality Score
83 vs 80

Hardware

unsloth/gemma-4-e4… mistral-small:24b
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-e4… mistral-small:24b
Tokens/sec12.114.3
First chunk40 ms327 ms
TTFT2.1 s327 ms
Load time7.2 s12.0 s
Memory usage0.8 GB18.5 GB
Memory %6%15%

HW Fit Score Breakdown

unsloth/gemma-4-e4b-it-…

Speed
22/50
TTFT
17/20
Memory
30/30

mistral-small:24b

Speed
14/50
TTFT
20/20
Memory
30/30

Quality

unsloth/gemma-4-e4b-it-…

Reasoning
15/20
Coding
18/20
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

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View unsloth/gemma-4-e4… details | View mistral-small:24b 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