What are the hardware requirements for Ornith 1.0 397B Mlx 8bit?

Ornith 1.0 397B Mlx 8bit requires approximately 208.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.0 397B Mlx 8bit and how large is it?

Ornith 1.0 397B Mlx 8bit is developed by pipenetwork, 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 1.0 397B Mlx 8bit?

Ornith 1.0 397B Mlx 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.0 397B Mlx 8bit by pipenetwork — VRAM 208.8GB

Name: Ornith 1.0 397B Mlx 8bit
Author: pipenetwork

Ornith 1.0 397B Mlx 8bit is an open-source language model by pipenetwork. Features: 397b LLM, VRAM: 208.8GB, License: mit, Quantized, LLM Explorer Score: 0.28.

8-bit 8bit Base model:deepreinforce-ai/or... Base model:quantized:deepreinf... Conversational En Mlx Moe Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/pipenetwork/Ornith-1.0-397B-mlx-8bit

Ornith 1.0 397B Mlx 8bit Parameters and Internals

LLM Name	Ornith 1.0 397B Mlx 8bit
Repository 🤗	https://huggingface.co/pipenetwork/Ornith-1.0-397B-mlx-8bit
Base Model(s)	deepreinforce-ai/Ornith-1.0-397B deepreinforce-ai/Ornith-1.0-397B
Model Size	397b
Required VRAM	208.8 GB
Updated	2026-07-31
Maintainer	pipenetwork
Model Type	qwen3_5_moe
Model Files	3.5 GB: 1-of-91 4.7 GB: 2-of-91 4.6 GB: 3-of-91 4.7 GB: 4-of-91 4.7 GB: 5-of-91 4.6 GB: 6-of-91 4.7 GB: 7-of-91 4.7 GB: 8-of-91 4.6 GB: 9-of-91 4.7 GB: 10-of-91 4.7 GB: 11-of-91 4.6 GB: 12-of-91 4.7 GB: 13-of-91 4.7 GB: 14-of-91 4.6 GB: 15-of-91 4.7 GB: 16-of-91 4.7 GB: 17-of-91 4.6 GB: 18-of-91 4.7 GB: 19-of-91 4.7 GB: 20-of-91 4.6 GB: 21-of-91 4.7 GB: 22-of-91 4.7 GB: 23-of-91 4.6 GB: 24-of-91 4.7 GB: 25-of-91 4.7 GB: 26-of-91 4.6 GB: 27-of-91 4.7 GB: 28-of-91 4.7 GB: 29-of-91 4.6 GB: 30-of-91 4.7 GB: 31-of-91 4.7 GB: 32-of-91 4.6 GB: 33-of-91 4.7 GB: 34-of-91 4.7 GB: 35-of-91 4.6 GB: 36-of-91 4.7 GB: 37-of-91 4.7 GB: 38-of-91 4.6 GB: 39-of-91 4.7 GB: 40-of-91 4.7 GB: 41-of-91 4.6 GB: 42-of-91 4.7 GB: 43-of-91 4.7 GB: 44-of-91 4.6 GB: 45-of-91
Supported Languages	en
Quantization Type	8bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Transformers Version	5.8.1

Rank the Ornith 1.0 397B Mlx 8bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Ornith 1.0 397B Mlx 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 397B A17B 4bit	0K / 222.2 GB	7004	11
Qwen3.5 397B A17B 8bit	0K / 209.7 GB	105802	5
Qwen3.5 397B A17B 6bit	0K / 238.5 GB	2598	2
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 GGUF	0K / 0.9 GB	63434	253
Qwen3.5 397B A17B NVFP4 V2	0K / 243.5 GB	23781	5
Ornith 1.0 397B	0K / 288.5 GB	318396	260
Ornith 1.0 397B FP8	0K / 147.7 GB	597119	183
XYZ Aquila Pro	0K / 225 GB	1805	375

Note: green Score (e.g. "73.2") means that the model is better than pipenetwork/Ornith-1.0-397B-mlx-8bit.