What are the hardware requirements for Insanity?

Insanity requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Insanity and how large is it?

Insanity is developed by Nohobby, a model with 12b 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 Insanity?

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

Insanity by Nohobby — VRAM 24.5GB, 1000K context

Name: Insanity
Author: Nohobby

Insanity is an open-source language model by Nohobby. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.14.

Merged Model Autotrain compatible Base model:arliai/mistral-nemo... Base model:v000000/nm-12b-lyri... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nohobby/Insanity

Insanity Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models created using mergekit. It involves multiple models with various parameters including weight, density, and specific merging methods like della_linear and dare_ties.

LLM Name	Insanity
Repository 🤗	https://huggingface.co/Nohobby/Insanity
Base Model(s)	NM 12B Lyris Dev 3 ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 v000000/NM-12B-Lyris-dev-3 ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-01-29
Maintainer	Nohobby
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Insanity 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 Insanity

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

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