What are the hardware requirements for Ornith 1.5 9B NVFP4?

Ornith 1.5 9B NVFP4 requires approximately 8.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 9B NVFP4 and how large is it?

Ornith 1.5 9B NVFP4 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 1.5 9B NVFP4?

Ornith 1.5 9B 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 9B NVFP4 by ornith-ai — VRAM 8.8GB

Name: Ornith 1.5 9B NVFP4
Author: ornith-ai

Ornith 1.5 9B NVFP4 is an open-source language model by ornith-ai. Features: 9b LLM, VRAM: 8.8GB, License: mit, LLM Explorer Score: 0.3.

Conversational Endpoints compatible Image-text-to-text Modelopt Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ornith-ai/Ornith-1.5-9B-NVFP4

Ornith 1.5 9B NVFP4 Parameters and Internals

LLM Name	Ornith 1.5 9B NVFP4
Repository 🤗	https://huggingface.co/ornith-ai/Ornith-1.5-9B-NVFP4
Model Size	9b
Required VRAM	8.8 GB
Updated	2026-08-30
Maintainer	ornith-ai
Model Type	qwen3_5
Model Files	8.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 9B 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 9B NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
HYZ 01 9B	256K / 18.8 GB	102	1
Clef Flash	0K / 18.8 GB	36817	853
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Ornith 1.0 9B	0K / 18.8 GB	765166	561
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
LensVLM 9B	0K / 18.8 GB	1840	258
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26

Note: green Score (e.g. "73.2") means that the model is better than ornith-ai/Ornith-1.5-9B-NVFP4.