# Binaire-0101/FRZi-inference

> FRZi-inference is an inference engine for running machine learning models. It is designed to execute pre-trained models and obtain predictions.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 72 total · +0 stars on 2026-09-23 (UTC), ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Language models · Created: 2026-09-07 · Last push: 2026-09-07
- GitHub: https://github.com/Binaire-0101/FRZi-inference · Page: https://gitnova.dev/en/r/Binaire-0101/FRZi-inference

## Useful for

- Run a pre-trained model to obtain predictions

## Why it’s here

- The repository is 16 days old and already has 72 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 39
- Issues and pull requests: 1
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 4 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 11 days

09-13 0.0, 09-14 0.0, 09-15 0.0, 09-16 0.0, 09-17 0.0, 09-18 0.0, 09-19 0.0, 09-20 0.0, 09-21 0.0, 09-22 0.0, 09-23 0.0

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-23 17:01 UTC, updated every 30 minutes.