What are the hardware requirements for Nullsworn 1.1 8B LINEAR?

Nullsworn 1.1 8B LINEAR requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nullsworn 1.1 8B LINEAR and how large is it?

Nullsworn 1.1 8B 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 1.1 8B LINEAR?

Nullsworn 1.1 8B LINEAR is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nullsworn 1.1 8B LINEAR by DreadPoor — VRAM 24.5GB, 128K context

Name: Nullsworn 1.1 8B LINEAR
Author: DreadPoor

Nullsworn 1.1 8B LINEAR is an open-source language model by DreadPoor. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, LLM Explorer Score: 0.17.

Arxiv:2203.05482 Autotrain compatible Base model:merge:ohyeah1/viole... Base model:merge:yamatazen/aur... Base model:merge:yamatazen/ayl... Base model:ohyeah1/violet-lyra... Base model:yamatazen/aurora-sc... Base model:yamatazen/ayla-ligh... Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Nullsworn_1.1-8B-LINEAR

Nullsworn 1.1 8B LINEAR Parameters and Internals

LLM Name	Nullsworn 1.1 8B LINEAR
Repository 🤗	https://huggingface.co/DreadPoor/Nullsworn_1.1-8B-LINEAR
Base Model(s)	Violet Lyra Gutenberg V2 Ayla Light 12B Aurora SCE 12B ohyeah1/Violet-Lyra-Gutenberg-v2 yamatazen/Ayla-Light-12B yamatazen/Aurora-SCE-12B
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	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Nullsworn 1.1 8B LINEAR capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Multi-Language Support and Translation

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...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_1.1-8B-LINEAR.