What are the hardware requirements for Cyber Ornith 1.5 9B OBLITERATED MLX 6bit?

Cyber Ornith 1.5 9B OBLITERATED MLX 6bit requires approximately 7.3 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 MLX 6bit and how large is it?

Cyber Ornith 1.5 9B OBLITERATED MLX 6bit is developed by cmdhawk, 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 MLX 6bit?

Cyber Ornith 1.5 9B OBLITERATED MLX 6bit 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 MLX 6bit by cmdhawk — VRAM 7.3GB, 256K context

Name: Cyber Ornith 1.5 9B OBLITERATED MLX 6bit
Author: cmdhawk

Cyber Ornith 1.5 9B OBLITERATED MLX 6bit is an open-source language model by cmdhawk. Features: 9b LLM, VRAM: 7.3GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

6-bit 6bit Abliterated Agentic Apple-silicon Base model:duoneural/cyber-orn... Base model:quantized:duoneural... 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... Dflash En Function-calling Hermes Mlx Mlx-lm Ornith Quantized Qwen3.5 Qwen3 5 Region:us Safetensors Sharded Speculative-decoding Tensorflow Tool-use Uncensored

Model Card on HF 🤗: https://huggingface.co/cmdhawk/Cyber-Ornith-1.5-9B-OBLITERATED-MLX-6bit

Cyber Ornith 1.5 9B OBLITERATED MLX 6bit Parameters and Internals

LLM Name	Cyber Ornith 1.5 9B OBLITERATED MLX 6bit
Repository 🤗	https://huggingface.co/cmdhawk/Cyber-Ornith-1.5-9B-OBLITERATED-MLX-6bit
Base Model(s)	DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED
Model Size	9b
Required VRAM	7.3 GB
Updated	2026-10-26
Maintainer	cmdhawk
Model Type	qwen3_5
Model Files	5.4 GB: 1-of-2 1.9 GB: 2-of-2
Supported Languages	en
Quantization Type	6bit
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 MLX 6bit 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 MLX 6bit

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...wen3.5 9B Abliterated MLX 4bit	256K / 5 GB	1063	10
Qwen3.5 Text 9B Bnb 4bit	256K / 7.6 GB	1100	4
Tmax 9B MLX 8bit	0K / 9.5 GB	79	1
Tmax 9B MLX 4bit	0K / 5 GB	45	1
Qwepus	1024K / 17.9 GB	453	0
...thos 9B V2 Heretic Abliterated	1024K / 17.9 GB	80	3
Veloxy Flash 15B	512K / 18.8 GB	806	1
Le Gros Chaton	256K / 17.9 GB	235	1
NeoHorse 1 9B	256K / 18 GB	1250	196
Teutonic I Reliquary RL	256K / 17.9 GB	2772	1

Note: green Score (e.g. "73.2") means that the model is better than cmdhawk/Cyber-Ornith-1.5-9B-OBLITERATED-MLX-6bit.