What are the hardware requirements for Ornith 1.5 9B OBLITERATED?

Ornith 1.5 9B OBLITERATED requires approximately 19.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 9B OBLITERATED and how large is it?

Ornith 1.5 9B OBLITERATED is developed by OBLITERATUS, a model with 9b 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 Ornith 1.5 9B OBLITERATED?

Ornith 1.5 9B OBLITERATED is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 9B OBLITERATED by OBLITERATUS — VRAM 19.4GB

Name: Ornith 1.5 9B OBLITERATED
Author: OBLITERATUS

Ornith 1.5 9B OBLITERATED is an open-source language model by OBLITERATUS. Features: 9b LLM, VRAM: 19.4GB, License: mit, Quantized, LLM Explorer Score: 0.34.

Abliterated Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Conversational En Endpoints compatible Gguf Obliteratus Ornith Q2 Quantized Qwen3.5 Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/OBLITERATUS/Ornith-1.5-9B-OBLITERATED

Ornith 1.5 9B OBLITERATED Parameters and Internals

LLM Name	Ornith 1.5 9B OBLITERATED
Repository 🤗	https://huggingface.co/OBLITERATUS/Ornith-1.5-9B-OBLITERATED
Base Model(s)	ornith-ai/Ornith-1.5-9B ornith-ai/Ornith-1.5-9B
Model Size	9b
Required VRAM	19.4 GB
Updated	2026-08-30
Maintainer	OBLITERATUS
Model Type	qwen3_5
Model Files	5.4 GB 3.9 GB 4.7 GB 5.8 GB 6.6 GB 7.6 GB 9.8 GB 18.4 GB 0.9 GB 4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 4.5 GB: 4-of-4
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	q2\|gguf\|q4_k\|q5_k
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 9B 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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