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

Ornith 1.5 9B MLX requires approximately 17.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Ornith 1.5 9B MLX 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 MLX?

Ornith 1.5 9B MLX 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 MLX by ornith-ai — VRAM 17.9GB

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

Ornith 1.5 9B MLX is an open-source language model by ornith-ai. Features: 9b LLM, VRAM: 17.9GB, LLM Explorer Score: 0.39.

Conversational En Mlx Qwen3 5 Region:us Safetensors Sharded Tensorflow

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

Ornith 1.5 9B MLX Parameters and Internals

LLM Name	Ornith 1.5 9B MLX
Repository 🤗	https://huggingface.co/ornith-ai/Ornith-1.5-9B-MLX
Model Size	9b
Required VRAM	17.9 GB
Updated	2026-08-21
Maintainer	ornith-ai
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-4 5.3 GB: 2-of-4 5.3 GB: 3-of-4 2.0 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 9B MLX 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 MLX

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	424	3
Ornith 1.0 9B	0K / 18.8 GB	2334991	535
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Ornith 1.5 9B	0K / 18.9 GB	1324	120
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwythos 9B V2	0K / 19.3 GB	19208	156
Qwen3.8 9B	0K / 19.3 GB	128	41

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