What are the hardware requirements for Nullsworn 12B LINEAR?

Nullsworn 12B LINEAR 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 Nullsworn 12B LINEAR and how large is it?

Nullsworn 12B LINEAR is developed by DreadPoor, 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 Nullsworn 12B LINEAR?

Nullsworn 12B LINEAR is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nullsworn 12B LINEAR by DreadPoor — VRAM 24.5GB, 1000K context

Name: Nullsworn 12B LINEAR
Author: DreadPoor

Nullsworn 12B LINEAR is an open-source language model by DreadPoor. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, LLM Explorer Score: 0.23.

Arxiv:2203.05482 Autotrain compatible Base model:cgato/nemo-12b-thea... Base model:merge:cgato/nemo-12... Base model:merge:nbeerbower/mi... Base model:merge:redrix/patric... Base model:merge:yamatazen/ayl... Base model:nbeerbower/mistral-... Base model:redrix/patricide-12... Base model:yamatazen/ayla-ligh... Conversational Endpoints compatible Merge Mergekit Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Nullsworn-12B-LINEAR

Nullsworn 12B LINEAR Parameters and Internals

LLM Name	Nullsworn 12B LINEAR
Repository 🤗	https://huggingface.co/DreadPoor/Nullsworn-12B-LINEAR
Base Model(s)	Mistral Nemo Kartoffel 12B Ayla Light 12B V2 Patricide 12B Unslop Mell V2 cgato/Nemo-12b-TheAnswer-v0.1-E2 nbeerbower/mistral-nemo-kartoffel-12B yamatazen/Ayla-Light-12B-v2 redrix/patricide-12B-Unslop-Mell-v2 cgato/Nemo-12b-TheAnswer-v0.1-E2
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-03-20
Maintainer	DreadPoor
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	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Nullsworn 12B LINEAR 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

Best Alternatives to Nullsworn 12B LINEAR

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
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
...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 DreadPoor/Nullsworn-12B-LINEAR.