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unsloth/gemma-4-e4b-it@q4_k_m

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

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

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
79 vs 87
Hardware Fit
68 vs 83
Quality Score
84 vs 88

Hardware

unsloth/gemma-4-e4… qwen/qwen3.8-27b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Max
Cores1616
RAM15 GB128 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Max
OSUbuntu 26.04 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-e4… qwen/qwen3.8-27b
Tokens/sec10.829.1
First chunk32 ms9 ms
TTFT2.0 s650 ms
Load time9.2 sN/A
Memory usage0.8 GB21.0 GB
Memory %5%16%

HW Fit Score Breakdown

unsloth/gemma-4-e4b-it@…

Speed
20/50
TTFT
18/20
Memory
30/30

qwen/qwen3.8-27b

Speed
33/50
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
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3.8-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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