🧠

Model

Novelai Python

Name: Novelai Python
Author: LlmKira

by LlmKira llmkira/novelai-python

Free2AITools Nexus Index

41.3

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 51

P: Popularity 50

R: Recency 56

Q: Quality 70

Tech Context

Vital Performance —

Source →

Task categories from upstream metadata

💬Chat & Dialogue

Technical Constraints

Experimental / High Latency

Low FNI signal 41.3 FNI Score

Tiny - Params

- Context

0 Downloads

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	llmkira/novelai-python
License	Apache-2.0
Provider	github

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{llmkira_novelai_python,
  author = {LlmKira},
  title = {Novelai Python Model},
  year = {2024},
  howpublished = {\url{https://github.com/LlmKira/novelai-python}},
  note = {Accessed via Free2AITools.}
}

APA Style

LlmKira. (2024). Novelai Python [Model]. Free2AITools. https://github.com/LlmKira/novelai-python

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 Git Clone

git clone https://github.com/LlmKira/novelai-python

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 51

Popularity (P) 50

Recency (R) 56

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Novelai Python: Authority (A:51), Popularity (P:50), Recency (R:56), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Deployment reference

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Technical Deep Dive

Declaration (2025/06/04)

I have nothing to do with NovelAI.

Due to various considerations, such as NovelAI's confusing project architecture and "can't learn anything from it", this project will be in a non-active maintenance state. If you have any questions, please raise an issue.

This project is designed to be a sample project for me to write Python SDK. It turns out that Pydantic is very powerful.

I will invest more time in open source projects that are more beneficial to society.

✨ NovelAI api python sdk with Pydantic, modern and user-friendly.

The goal of this repository is to use Pydantic to build legitimate requests to access the NovelAI API service.

Python >= 3.9 <3.13 is required.

📰 News

📦 Usage

shell

pip -U install novelai-python

All API users must adhere to the NovelAI Terms of Service: https://novelai.net/terms.

More examples can be found in the playground directory, read code as documentation.

python

import asyncio
import os

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

Social Proof

GitHub Repository

44Stars

2Forks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-model--llmkira--novelai-python
slug: llmkira--novelai-python
source: github
author: LlmKira
license: Apache-2.0
tags: novelai, async, image-generation, python3, generative-ai-tools, stable-diffusion, voice-generation, large-language-model, text-generation, nai-diffusion, python

⚙️ Technical Specs

pipeline tag: text-generation

📊 Engagement & Metrics

downloads: 0
stars: 44
forks: 2

Data indexed from public sources. Updated daily.