What are the hardware requirements for Ornith 1.5 122B?

Ornith 1.5 122B requires approximately 174.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 122B and how large is it?

Ornith 1.5 122B is developed by ornith-ai, a model with 122b 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 122B?

Ornith 1.5 122B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 122B by ornith-ai — VRAM 174.2GB

Name: Ornith 1.5 122B
Author: ornith-ai

Ornith 1.5 122B is an open-source language model by ornith-ai. Features: 122b LLM, VRAM: 174.2GB, License: mit, LLM Explorer Score: 0.5.

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

Model Card on HF 🤗: https://huggingface.co/ornith-ai/Ornith-1.5-122B

Ornith 1.5 122B Parameters and Internals

LLM Name	Ornith 1.5 122B
Repository 🤗	https://huggingface.co/ornith-ai/Ornith-1.5-122B
Model Size	122b
Required VRAM	174.2 GB
Updated	2026-10-26
Maintainer	ornith-ai
Model Type	qwen3_5_moe
Model Files	2.6 GB: 1-of-62 5.0 GB: 2-of-62 5.0 GB: 3-of-62 5.0 GB: 4-of-62 3.4 GB: 5-of-62 1.8 GB: 6-of-62 5.0 GB: 7-of-62 5.0 GB: 8-of-62 5.0 GB: 9-of-62 3.4 GB: 10-of-62 1.8 GB: 11-of-62 5.0 GB: 12-of-62 5.0 GB: 13-of-62 5.0 GB: 14-of-62 3.4 GB: 15-of-62 1.8 GB: 16-of-62 5.0 GB: 17-of-62 5.0 GB: 18-of-62 5.0 GB: 19-of-62 3.4 GB: 20-of-62 1.8 GB: 21-of-62 5.0 GB: 22-of-62 5.0 GB: 23-of-62 5.0 GB: 24-of-62 3.4 GB: 25-of-62 1.8 GB: 26-of-62 5.0 GB: 27-of-62 5.0 GB: 28-of-62 5.0 GB: 29-of-62 3.4 GB: 30-of-62 1.8 GB: 31-of-62 5.0 GB: 32-of-62 5.0 GB: 33-of-62 5.0 GB: 34-of-62 3.4 GB: 35-of-62 1.8 GB: 36-of-62 5.0 GB: 37-of-62 5.0 GB: 38-of-62 5.0 GB: 39-of-62 3.4 GB: 40-of-62 1.8 GB: 41-of-62 5.0 GB: 42-of-62 5.0 GB: 43-of-62
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Transformers Version	5.8.1

Rank the Ornith 1.5 122B 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 Ornith 1.5 122B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 122B A10B NVFP4	0K / 83.5 GB	248732	49
Ornith 1.5 122B NVFP4	0K / 77.6 GB	36820	20
Ornith 1.5 122B FP8	0K / 90.1 GB	50413	12
Qwen3.5 122B A10B	0K / 248.6 GB	2139628	605
Qwen3.5 122B A10B	0K / 248.6 GB	1680	8
Qwen3.5 122B A10B	0K / 248.6 GB	45	1
Qwen3.5 122B A10B Abliterated	0K / 248.6 GB	108	5
Qwen3.5 122B A10B FP8	0K / 126.3 GB	1271983	112
Qwen3.5 122B A10B NVFP4	0K / 74 GB	18267	18
...en3.5 122B A10B Int4 AutoRound	0K / 72 GB	142311	45