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parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

lmstudio-community/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
67 vs 77
Hardware Fit
66 vs 68
Quality Score
67 vs 81

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/sec4.311.4
First chunk13 ms28 ms
TTFT1.9 s2.2 s
Load timeN/A6.8 s
Memory usage3.0 GB0.6 GB
Memory %19%4%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

Speed
16/50
TTFT
20/20
Memory
30/30

lmstudio-community/gemm…

Speed
21/50
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
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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