What are the hardware requirements for Ornith 1.5 9B MXFP8?

Ornith 1.5 9B MXFP8 requires approximately 10.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 9B MXFP8 and how large is it?

Ornith 1.5 9B MXFP8 is developed by OsaurusAI, 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 MXFP8?

Ornith 1.5 9B MXFP8 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 MXFP8 by OsaurusAI — VRAM 10.1GB

Name: Ornith 1.5 9B MXFP8
Author: OsaurusAI

Ornith 1.5 9B MXFP8 is an open-source language model by OsaurusAI. Features: 9b LLM, VRAM: 10.1GB, License: mit, LLM Explorer Score: 0.27.

Apple-silicon Base model:finetune:ornith-ai/... Base model:ornith-ai/ornith-1.... Conversational En Image-text-to-text Jang Mlx Mxfp8 Ornith Quantized Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Thinking Video Vision

Model Card on HF 🤗: https://huggingface.co/OsaurusAI/Ornith-1.5-9B-MXFP8

Ornith 1.5 9B MXFP8 Parameters and Internals

LLM Name	Ornith 1.5 9B MXFP8
Repository 🤗	https://huggingface.co/OsaurusAI/Ornith-1.5-9B-MXFP8
Base Model(s)	ornith-ai/Ornith-1.5-9B ornith-ai/Ornith-1.5-9B
Model Size	9b
Required VRAM	10.1 GB
Updated	2026-08-22
Maintainer	OsaurusAI
Model Type	qwen3_5
Model Files	1.0 GB: 1-of-10 1.0 GB: 2-of-10 1.0 GB: 3-of-10 1.1 GB: 4-of-10 1.0 GB: 5-of-10 1.0 GB: 6-of-10 1.1 GB: 7-of-10 1.9 GB: 8-of-10 1.0 GB: 9-of-10 0.0 GB: 10-of-10
Supported Languages	en
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 MXFP8 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 MXFP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3230	4
Clef Flash	0K / 18.8 GB	34921	840
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Flux 3 Image Klein Pup	0K / 18.8 GB	6948	54
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	765166	561
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 OsaurusAI/Ornith-1.5-9B-MXFP8.