What are the hardware requirements for Ornith 1.5 9B AWQ INT4?

Ornith 1.5 9B AWQ INT4 requires approximately 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 AWQ INT4 and how large is it?

Ornith 1.5 9B AWQ INT4 is developed by cyankiwi, 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 AWQ INT4?

Ornith 1.5 9B AWQ INT4 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 AWQ INT4 by cyankiwi — VRAM 9GB

Name: Ornith 1.5 9B AWQ INT4
Author: cyankiwi

Ornith 1.5 9B AWQ INT4 is an open-source language model by cyankiwi. Features: 9b LLM, VRAM: 9GB, License: mit, Quantized, LLM Explorer Score: 0.35.

Awq Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Compressed-tensors Conversational Endpoints compatible Image-text-to-text Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cyankiwi/Ornith-1.5-9B-AWQ-INT4

Ornith 1.5 9B AWQ INT4 Parameters and Internals

LLM Name	Ornith 1.5 9B AWQ INT4
Repository 🤗	https://huggingface.co/cyankiwi/Ornith-1.5-9B-AWQ-INT4
Base Model(s)	ornith-ai/Ornith-1.5-9B ornith-ai/Ornith-1.5-9B
Model Size	9b
Required VRAM	9 GB
Updated	2026-08-25
Maintainer	cyankiwi
Model Type	qwen3_5
Model Files	3.6 GB: 1-of-3 5.3 GB: 2-of-3 0.1 GB: 3-of-3
AWQ Quantization	Yes
Quantization Type	awq
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 AWQ INT4 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 AWQ INT4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 9B AWQ	0K / 12.4 GB	1285582	24
Qwen3.5 9B AWQ 4bit	0K / 9.1 GB	214142	35
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Ornith 1.5 9B MLX 8bit	0K / 9.5 GB	2686	7
Qwen3.8 9B Distill Mlx 5Bit	0K / 6.1 GB	540	2
...th 1.5 9B Abliterated MLX 4bit	0K / 5.9 GB	402	2
Qwen3.8 9B Mlx 4Bit	0K / 5 GB	529	7
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9

Note: green Score (e.g. "73.2") means that the model is better than cyankiwi/Ornith-1.5-9B-AWQ-INT4.