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

Cyber Ornith 1.5 9B OBLITERATED requires approximately 17.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Cyber Ornith 1.5 9B OBLITERATED is developed by DuoNeural, 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 Cyber Ornith 1.5 9B OBLITERATED?

Cyber 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.

Cyber Ornith 1.5 9B OBLITERATED by DuoNeural — VRAM 17.9GB, 256K context

Name: Cyber Ornith 1.5 9B OBLITERATED
Author: DuoNeural

Cyber Ornith 1.5 9B OBLITERATED is an open-source language model by DuoNeural. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Agentic Base model:finetune:obliteratu... Base model:obliteratus/ornith-... Cli Conversational Cybersecurity Dataset:emirkaanozdemr/bash co... Dataset:hotdogs/uka-cyber-data... Dataset:lite-coder/litecoder-t... Dataset:nousresearch/hermes-fu... Dataset:oi-uae/cyber-security Dataset:open-thoughts/openthou... Dataset:rajistics/openhands-sy... Dataset:trend-cybertron/primus... Duoneural En Function-calling Obliterated Qlora Qwen3 5 Qwen3 5 text Reasoning Region:us Safetensors Terminal Tool-use Unsloth

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

Cyber Ornith 1.5 9B OBLITERATED Parameters and Internals

LLM Name	Cyber Ornith 1.5 9B OBLITERATED
Repository 🤗	https://huggingface.co/DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED
Base Model(s)	OBLITERATUS/Ornith-1.5-9B-OBLITERATED OBLITERATUS/Ornith-1.5-9B-OBLITERATED
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-10-06
Maintainer	DuoNeural
Model Type	qwen3_5_text
Model Files	17.9 GB
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Cyber 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

Best Alternatives to Cyber Ornith 1.5 9B OBLITERATED

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...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
JEV 9B	256K / 17.8 GB	471	12
...te Qwopus MiMo Ornith 9B Coder	256K / 17.8 GB	439	6
WikiQwen 9B	256K / 17.9 GB	1039	0
JevK5 9B	256K / 17.9 GB	683	1
PentaCoder 9B	256K / 17.9 GB	293	2
Qwen3.5 9B OutsideTheBox SFT	256K / 17.9 GB	409	0
ViAble 1.7 9B	256K / 17.9 GB	1118	3

Note: green Score (e.g. "73.2") means that the model is better than DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED.