richardyoung/qwythos-9b-abliterated:Q8_0
OLLAMA GGUFqwen35 · 9.0B · Q8_0
Jun 28, 2026 · Apple M4 Pro
liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
Global Score
65 vs 74
Hardware Fit
96 vs 84
Quality Score
52 vs 69
Hardware
richardyoung/qwyth… liquid/lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4 ProApple M4
Cores1210
RAM24 GB24 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
richardyoung/qwyth… liquid/lfm2-24b-a2b
Tokens/sec25.358.9
First chunk397 ms28 ms
TTFT397 ms481 ms
Load time6.3 sN/A
Memory usage8.3 GB17.5 GB
Memory %34%73%
HW Fit Score Breakdown
richardyoung/qwythos-9b…
Speed
47/50
TTFT
20/20
Memory
29/30
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
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
liquid/lfm2-24b-a2b
Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest