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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

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
79 vs 53
Hardware Fit
68 vs 89
Quality Score
84 vs 38

Hardware

unsloth/gemma-4-e4… qwen3.5-0.8b-mlx
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-e4… qwen3.5-0.8b-mlx
Tokens/sec10.852.9
First chunk32 ms4013 ms
TTFT2.0 s4.0 s
Load time9.2 sN/A
Memory usage0.8 GB0.6 GB
Memory %5%1%

HW Fit Score Breakdown

unsloth/gemma-4-e4b-it@…

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
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

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View unsloth/gemma-4-e4… details | View qwen3.5-0.8b-mlx 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