What are the hardware requirements for Isekaijoucho?

Isekaijoucho requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Isekaijoucho and how large is it?

Isekaijoucho is developed by LingyeLingye, 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 Isekaijoucho?

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

Isekaijoucho by LingyeLingye — VRAM 0.1GB

Name: Isekaijoucho
Author: LingyeLingye

Isekaijoucho is an open-source language model by LingyeLingye. Features: 4b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.27.

Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-4b Conversational Finetuned Ja Llama-factory Lora Peft Persona Qwen3 5 Region:us Roleplay Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/LingyeLingye/isekaijoucho

Isekaijoucho Parameters and Internals

LLM Name	Isekaijoucho
Repository 🤗	https://huggingface.co/LingyeLingye/isekaijoucho
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	0.1 GB
Updated	2026-10-20
Maintainer	LingyeLingye
Model Files	0.1 GB
Supported Languages	zh ja
Model Architecture	Adapter
Model Max Length	262144
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	out_proj\|v_proj\|down_proj\|in_proj_a\|up_proj\|q_proj\|in_proj_qkv\|k_proj\|o_proj\|gate_proj\|in_proj_z\|in_proj_b
LoRA Alpha	16
LoRA Dropout	0.05
R Param	8
Errors	replace

Rank the Isekaijoucho capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Isekaijoucho

Best Alternatives	Context / RAM	Downloads	Likes
Kev 4B	0K / 0.1 GB	16100	101
Qwen Las V0.1	0K / 0 GB	6	0
Diogenes 4B	0K / 0.1 GB	48	2
Visual Jev 4B Answer Sft	0K / 0.1 GB	466	2
Medjev 4B Lora	0K / 0.1 GB	41	2
Imajev 4B	0K / 0.5 GB	64	3
Lab21 LoRA CSKH	0K / 0.1 GB	20	1
...ate Field Intelligence Adapter	0K / 0.1 GB	44	1
...c Qwen3.5 4B Lora Experimental	0K / 0.2 GB	24	1
...wen3.5 4B Turkish Concise Lora	0K / 0.1 GB	12	1

Note: green Score (e.g. "73.2") means that the model is better than LingyeLingye/isekaijoucho.