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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

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

Global Score
41 vs 60
Hardware Fit
100 vs 96
Quality Score
16 vs 44

Hardware

hf.co/mradermacher… qwen3.5-0.8b-mlx
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/mradermacher… qwen3.5-0.8b-mlx
Tokens/sec34.6108.0
First chunk179 ms2568 ms
TTFT179 ms2.6 s
Load time3.9 sN/A
Memory usage3.9 GB1.0 GB
Memory %25%3%

HW Fit Score Breakdown

hf.co/mradermacher/gemm…

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
16/20
Memory
30/30

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

qwen3.5-0.8b-mlx

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View hf.co/mradermacher… 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