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google/gemma-4-e4b

LM-STUDIO GGUF

vlm · 7.9B · Q4_K_M

Marginal

Oct 1, 2026 · AMD Ryzen 7 4800H

solar:10.7b

OLLAMA GGUF

llama · 11B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
59 vs 63
Hardware Fit
62 vs 87
Quality Score
58 vs 52

Hardware

google/gemma-4-e4b solar:10.7b
MachineASUSTeK COMPUTER INC. ROG Strix G513IM_G513IMMacBook Air
CPUAMD Ryzen 7 4800HApple M4
Cores1610
RAM15 GB32 GB
GPUAMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b solar:10.7b
Tokens/sec7.115.8
First chunk41 msN/A
TTFT1.2 s353 ms
Load time71.7 s0.4 s
Memory usage0.9 GB6.6 GB
Memory %6%21%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
12/50
TTFT
20/20
Memory
30/30

solar:10.7b

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

Quality

google/gemma-4-e4b

Reasoning
6/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

solar:10.7b

Reasoning
8/20
Coding
8/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View google/gemma-4-e4b details | View solar:10.7b 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