parable-qwen3-4b-claude-fable-5
LM-STUDIO GGUFqwen3 · 4B · Q4_K_M
Oct 24, 2026 · Intel Core™ i3-9100F
lmstudio-community/gemma-4-e4b-it
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
67 vs 76
Hardware Fit
66 vs 67
Quality Score
67 vs 80
Hardware
parable-qwen3-4b-c… lmstudio-community…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0Docker Container
CPUIntel Core™ i3-9100FIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650TigerLake-H GT1 [UHD Graphics]
OSМайкрософт Windows 10 Pro 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance
Performance
parable-qwen3-4b-c… lmstudio-community…
Tokens/sec4.310.8
First chunk13 ms44 ms
TTFT1.9 s2.0 s
Load timeN/A10.9 s
Memory usage3.0 GB0.0 GB
Memory %19%0%
HW Fit Score Breakdown
parable-qwen3-4b-claude…
Speed
16/50
TTFT
20/20
Memory
30/30
lmstudio-community/gemm…
Speed
20/50
TTFT
17/20
Memory
30/30
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
lmstudio-community/gemm…
Reasoning
14/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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