What are the hardware requirements for Feyospace S1 Obliterated?

Feyospace S1 Obliterated requires approximately 109.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Feyospace S1 Obliterated and how large is it?

Feyospace S1 Obliterated is developed by OBLITERATUS, a model with 27.8b 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 Feyospace S1 Obliterated?

Feyospace S1 Obliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Feyospace S1 Obliterated by OBLITERATUS — VRAM 109.3GB

Name: Feyospace S1 Obliterated
Author: OBLITERATUS

Feyospace S1 Obliterated is an open-source language model by OBLITERATUS. Features: 27.8b LLM, VRAM: 109.3GB, License: apache-2.0, LLM Explorer Score: 0.34.

Abliteration Base model:feyospace/feyospace... Base model:finetune:feyospace/... Conversational Cybersecurity Endpoints compatible Image-text-to-text Model-index Obliteratus Qwen3.5 Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/OBLITERATUS/feyospace-s1-obliterated

Feyospace S1 Obliterated Parameters and Internals

LLM Name	Feyospace S1 Obliterated
Repository 🤗	https://huggingface.co/OBLITERATUS/feyospace-s1-obliterated
Base Model(s)	feyospace/feyospace-v1.1-small feyospace/feyospace-v1.1-small
Model Size	27.8b
Required VRAM	109.3 GB
Updated	2026-10-19
Maintainer	OBLITERATUS
Model Type	qwen3_5
Model Files	9.1 GB: 1-of-12 9.9 GB: 2-of-12 9.9 GB: 3-of-12 9.9 GB: 4-of-12 9.8 GB: 5-of-12 10.0 GB: 6-of-12 9.8 GB: 7-of-12 9.9 GB: 8-of-12 9.9 GB: 9-of-12 9.9 GB: 10-of-12 6.1 GB: 11-of-12 5.1 GB: 12-of-12
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.19.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Feyospace S1 Obliterated 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

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