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

Ornith 1.5 397B NVFP4 MTP Graft 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 MTP Graft and how large is it?

Ornith 1.5 397B NVFP4 MTP Graft is developed by littlecedar, 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 MTP Graft?

Ornith 1.5 397B NVFP4 MTP Graft 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 MTP Graft by littlecedar — VRAM 237.9GB

Name: Ornith 1.5 397B NVFP4 MTP Graft
Author: littlecedar

Ornith 1.5 397B NVFP4 MTP Graft is an open-source language model by littlecedar. Features: 397b LLM, VRAM: 237.9GB, License: mit, LLM Explorer Score: 0.29.

8-bit Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Conversational Doi:10.57967/hf/10128 Endpoints compatible Image-text-to-text Modelopt Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/littlecedar/Ornith-1.5-397B-NVFP4-MTP-Graft

Ornith 1.5 397B NVFP4 MTP Graft Parameters and Internals

LLM Name	Ornith 1.5 397B NVFP4 MTP Graft
Repository 🤗	https://huggingface.co/littlecedar/Ornith-1.5-397B-NVFP4-MTP-Graft
Base Model(s)	ornith-ai/Ornith-1.5-397B-NVFP4 ornith-ai/Ornith-1.5-397B ornith-ai/Ornith-1.5-397B-NVFP4 ornith-ai/Ornith-1.5-397B
Model Size	397b
Required VRAM	237.9 GB
Updated	2026-08-28
Maintainer	littlecedar
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 13.2 GB
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 MTP Graft 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 MTP Graft

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 1.0 397B	0K / 288.5 GB	229074	261
XYZ Aquila Pro	0K / 225 GB	1805	375
Ornith 1.5 397B	0K / 279.9 GB	672	66
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 NVFP4	0K / 237.9 GB	2533	15

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