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richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
65 vs 53
Hardware Fit
96 vs 89
Quality Score
52 vs 38

Hardware

richardyoung/qwyth… qwen3.5-0.8b-mlx
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1214
RAM24 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.6.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

richardyoung/qwyth… qwen3.5-0.8b-mlx
Tokens/sec25.352.9
First chunk397 ms4013 ms
TTFT397 ms4.0 s
Load time6.3 sN/A
Memory usage8.3 GB0.6 GB
Memory %34%1%

HW Fit Score Breakdown

richardyoung/qwythos-9b…

Speed
47/50
TTFT
20/20
Memory
29/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

richardyoung/qwythos-9b…

Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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 richardyoung/qwyth… 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