What are the hardware requirements for Novel Humanize 4B?

Novel Humanize 4B requires approximately 8 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Novel Humanize 4B and how large is it?

Novel Humanize 4B is developed by gugujiji, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Novel Humanize 4B?

Novel Humanize 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Novel Humanize 4B by gugujiji — VRAM 8GB, 40K context

Name: Novel Humanize 4B
Author: gugujiji

Novel Humanize 4B is an open-source language model by gugujiji. Features: 4b LLM, VRAM: 8GB, Context: 40K, License: cc-by-nc-4.0, LLM Explorer Score: 0.44.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b Chinese Conversational Novel Qwen3 Region:us Rewriting Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/gugujiji/novel-humanize-4b

Novel Humanize 4B Parameters and Internals

LLM Name	Novel Humanize 4B
Repository 🤗	https://huggingface.co/gugujiji/novel-humanize-4b
Base Model(s)	Qwen/Qwen3-4B Qwen/Qwen3-4B
Model Size	4b
Required VRAM	8 GB
Updated	2026-10-28
Maintainer	gugujiji
Model Type	qwen3
Model Files	8.0 GB
Supported Languages	zh
Model Architecture	Qwen3ForCausalLM
License	cc-by-nc-4.0
Context Length	40960
Model Max Length	40960
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Novel Humanize 4B capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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