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hf.co/mradermacher/gemma-4-E4B-GGUF:Q6_K

OLLAMA GGUF

gemma4 · 7.52B · unknown

Marginal

Aug 24, 2026 · Apple M1 Pro

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
41 vs 59
Hardware Fit
100 vs 63
Quality Score
16 vs 58

Hardware

hf.co/mradermacher… qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M1 ProApple M5 Max
OSmacOS 26.6.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/mradermacher… qwen3.8-27b-mlx
Tokens/sec34.618.3
First chunk179 ms4 ms
TTFT179 ms530 ms
Load time3.9 sN/A
Memory usage3.9 GB38.5 GB
Memory %25%60%

HW Fit Score Breakdown

hf.co/mradermacher/gemm…

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

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

Quality

hf.co/mradermacher/gemm…

Reasoning
5/20
Coding
7/20
Instruction
0/20
Structured
0/15
Math
3/15
Multilingual
1/10
Reasoning: Poor Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View hf.co/mradermacher… details | View qwen3.8-27b-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