parable-qwen3-4b-claude-fable-5
LM-STUDIO GGUFqwen3 · 4B · Q4_K_M
Oct 24, 2026 · Intel Core™ i3-9100F
mlx-community/gemma-3-1b-it-8bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
67 vs 72
Hardware Fit
66 vs 99
Quality Score
67 vs 61
Hardware
parable-qwen3-4b-c… mlx-community/gemm…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0MacBook Air
CPUIntel Core™ i3-9100FApple M4
Cores410
RAM16 GB32 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M4
OSМайкрософт Windows 10 Pro 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
parable-qwen3-4b-c… mlx-community/gemm…
Tokens/sec4.386.3
First chunk13 ms253 ms
TTFT1.9 s253 ms
Load timeN/AN/A
Memory usage3.0 GB1.1 GB
Memory %19%4%
HW Fit Score Breakdown
parable-qwen3-4b-claude…
Speed
16/50
TTFT
20/20
Memory
30/30
mlx-community/gemma-3-1…
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
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
mlx-community/gemma-3-1…
Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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