google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
qwen2.5-coder-1.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
Global Score
62 vs 70
Hardware Fit
77 vs 100
Quality Score
55 vs 57
Hardware
google/gemma-4-e4b qwen2.5-coder-1.5b…
MachineLENOVO 82JQMacBook Air
CPUAMD Ryzen 7 5800HApple M4
Cores1610
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen2.5-coder-1.5b…
Tokens/sec27.658.4
First chunk23 ms234 ms
TTFT480 ms234 ms
Load timeN/AN/A
Memory usage13.2 GB1.5 GB
Memory %83%5%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
48/50
TTFT
20/20
Memory
9/30
qwen2.5-coder-1.5b-inst…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
qwen2.5-coder-1.5b-inst…
Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest