What are the hardware requirements for WorldGen V1.1?

WorldGen V1.1 requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WorldGen V1.1 and how large is it?

WorldGen V1.1 is developed by Casual-Autopsy, a model with 7b 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 WorldGen V1.1?

WorldGen V1.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WorldGen V1.1 by Casual-Autopsy — VRAM 14.5GB, 32K context

Name: WorldGen V1.1
Author: Casual-Autopsy

WorldGen V1.1 is an open-source language model by Casual-Autopsy. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:kubernetes-bad/char... Base model:neversleep/noromaid... Base model:nousresearch/hermes... Base model:weyaxi/einstein-v4-... Character creation Conversational En Endpoints compatible Lore writing Mistral Not-for-all-audiences Nsfw Region:us Safetensors Sharded Tensorflow World-building

Model Card on HF 🤗: https://huggingface.co/Casual-Autopsy/WorldGen-v1.1

WorldGen V1.1 Parameters and Internals

LLM Name	WorldGen V1.1
Repository 🤗	https://huggingface.co/Casual-Autopsy/WorldGen-v1.1
Base Model(s)	Chargen V2 NeverSleep/Noromaid-7B-0.4-DPO Einstein V4 7B Hermes 2 Pro Mistral 7B kubernetes-bad/chargen-v2 NeverSleep/Noromaid-7B-0.4-DPO Weyaxi/Einstein-v4-7B NousResearch/Hermes-2-Pro-Mistral-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2025-11-02
Maintainer	Casual-Autopsy
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.7 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the WorldGen V1.1 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 WorldGen V1.1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Casual-Autopsy/WorldGen-v1.1.