What are the hardware requirements for Ornith 1.5 397B NVFP4?

Ornith 1.5 397B NVFP4 requires approximately 237.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 397B NVFP4 and how large is it?

Ornith 1.5 397B NVFP4 is developed by ornith-ai, a model with 397b 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 397B NVFP4?

Ornith 1.5 397B NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 397B NVFP4 by ornith-ai — VRAM 237.9GB

Name: Ornith 1.5 397B NVFP4
Author: ornith-ai

Ornith 1.5 397B NVFP4 is an open-source language model by ornith-ai. Features: 397b LLM, VRAM: 237.9GB, License: mit, LLM Explorer Score: 0.39.

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

Model Card on HF 🤗: https://huggingface.co/ornith-ai/Ornith-1.5-397B-NVFP4

Ornith 1.5 397B NVFP4 Parameters and Internals

LLM Name	Ornith 1.5 397B NVFP4
Repository 🤗	https://huggingface.co/ornith-ai/Ornith-1.5-397B-NVFP4
Model Size	397b
Required VRAM	237.9 GB
Updated	2026-08-21
Maintainer	ornith-ai
Model Type	qwen3_5_moe
Model Files	10.0 GB: 1-of-24 10.0 GB: 2-of-24 10.0 GB: 3-of-24 10.0 GB: 4-of-24 10.0 GB: 5-of-24 10.0 GB: 6-of-24 10.0 GB: 7-of-24 10.0 GB: 8-of-24 10.0 GB: 9-of-24 10.0 GB: 10-of-24 10.0 GB: 11-of-24 10.0 GB: 12-of-24 10.0 GB: 13-of-24 10.0 GB: 14-of-24 10.0 GB: 15-of-24 10.0 GB: 16-of-24 9.9 GB: 17-of-24 10.0 GB: 18-of-24 10.0 GB: 19-of-24 10.0 GB: 20-of-24 10.0 GB: 21-of-24 10.0 GB: 22-of-24 10.0 GB: 23-of-24 8.0 GB: 24-of-24
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.5.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 397B NVFP4 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 397B NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 397B A17B	0K / 369.8 GB	331990	1549
Qwen3.5 397B A17B NVFP4	0K / 251.1 GB	428565	102
Qwen3.5 397B A17B NVFP4 V2	0K / 243.5 GB	23781	5
Ornith 1.0 397B FP8	0K / 147.7 GB	597119	183
Ornith 1.5 397B	0K / 279.9 GB	672	66
Ornith 1.0 397B	0K / 288.5 GB	256425	260
XYZ Aquila Pro	0K / 225 GB	1805	375
Qwen3.5 397B A17B	0K / 369.8 GB	53	13
Qwen3.5 397B A17B FP8	0K / 184.9 GB	825515	182
Ornith 1.5 397B FP8	0K / 136.7 GB	738	7

Note: green Score (e.g. "73.2") means that the model is better than ornith-ai/Ornith-1.5-397B-NVFP4.