mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
parable-qwen3-4b-claude-fable-5
LM-STUDIO GGUFqwen3 · 4B · Q4_K_M
Oct 24, 2026 · Intel Core™ i3-9100F
Global Score
74 vs 67
Hardware Fit
100 vs 66
Quality Score
63 vs 67
Hardware
mlx-community/Llam… parable-qwen3-4b-c…
MachineMacBook AirGigabyte Technology Co., Ltd. H310M S2 2.0
CPUApple M4Intel Core™ i3-9100F
Cores104
RAM32 GB16 GB
GPUApple M4Virtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSmacOS 26.3Майкрософт Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/Llam… parable-qwen3-4b-c…
Tokens/sec50.64.3
First chunk257 ms13 ms
TTFT257 ms1.9 s
Load timeN/AN/A
Memory usage0.7 GB3.0 GB
Memory %2%19%
HW Fit Score Breakdown
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
parable-qwen3-4b-claude…
Speed
16/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/Llama-3.2…
Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
parable-qwen3-4b-claude…
Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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