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

qwen3 · 4B · Q4_K_M

Gigabyte Technology Co., Ltd. H310M S2 2.0 (Intel Core™ i3-9100F)

16 GB · Майкрософт Windows 10 Pro 10.0.19045

Tested on October 24, 2026
Top 70% Compare
Global Score
67 /100
Good
Hardware Fit
66/100
Quality
67/100

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Hardware

Machine
Gigabyte Technology Co., Ltd. H310M S2 2.0
CPU
Intel Core™ i3-9100F
Cores
4 total (4 perf)
Frequency
3.6 GHz
RAM
16 GB DDR4
GPU
Virtual Desktop Monitor, NVIDIA GeForce GTX 1650
OS
Майкрософт Windows 10 Pro 10.0.19045
Arch
x64
Power Mode
balanced

Performance

Tokens/sec
4.3
Standard deviation
±0.2
First chunk latency
13 ms
Time to first token
1.9 s
Load time
N/A
Memory usage
3.0 GB (19%)
Total tokens
1120

Score breakdown

Speed
16/50
Time to first token
20/20
Memory
30/30

Quality

Reasoning
12/20
Coding
12/20
Instruction following
13/20
Structured output
15/15
Math
5/15
Multilingual
10/10

Category levels

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.11+1
Model format
GGUF
Hardware profile
ENTRY
Result hash
c5375e7dc4547bd60f9ddd0b28621f8488ddf14bcd6c097e758f71ae51ffe3c7

Interpretation

Hardware fit: 66/100. Overall suitability: GOOD (Global 67/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Weak, Multilingual: Strong.

Warnings

  • Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Bench Environment

Swap delta: +0.0 GB CPU load: avg 32% (peak 38%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest