What are the hardware requirements for Ornith 1.0 9B?

Ornith 1.0 9B requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.0 9B and how large is it?

Ornith 1.0 9B is developed by ornith-ai, 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 1.0 9B?

Ornith 1.0 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.0 9B by ornith-ai — VRAM 18.8GB

Name: Ornith 1.0 9B
Author: ornith-ai

Ornith 1.0 9B is an open-source language model by ornith-ai. Features: 9b LLM, VRAM: 18.8GB, License: mit, LLM Explorer Score: 0.49.

Conversational Endpoints compatible Eval-results Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ornith-ai/Ornith-1.0-9B

Ornith 1.0 9B Parameters and Internals

LLM Name	Ornith 1.0 9B
Repository 🤗	https://huggingface.co/ornith-ai/Ornith-1.0-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-08-09
Maintainer	ornith-ai
Model Type	qwen3_5
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.9 GB: 4-of-4
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.0 9B 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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