What are the hardware requirements for Ornith 1.5 35B A3B W4A16 SYM?

Ornith 1.5 35B A3B W4A16 SYM requires approximately 0.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 35B A3B W4A16 SYM and how large is it?

Ornith 1.5 35B A3B W4A16 SYM is developed by MIRALABS, a model with 35b 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 35B A3B W4A16 SYM?

Ornith 1.5 35B A3B W4A16 SYM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 35B A3B W4A16 SYM by MIRALABS — VRAM 0.6GB

Name: Ornith 1.5 35B A3B W4A16 SYM
Author: MIRALABS

Ornith 1.5 35B A3B W4A16 SYM is an open-source language model by MIRALABS. Features: 35b LLM, VRAM: 0.6GB, License: mit, LLM Explorer Score: 0.32.

4-bit 4bit Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Compressed-tensors Conversational Endpoints compatible Image-text-to-text Int4 Moe Mtp Multimodal Ornith Quantized Qwen3 5 moe Region:us Safetensors Symmetric Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/MIRALABS/Ornith-1.5-35B-A3B-W4A16-SYM

Ornith 1.5 35B A3B W4A16 SYM Parameters and Internals

LLM Name	Ornith 1.5 35B A3B W4A16 SYM
Repository 🤗	https://huggingface.co/MIRALABS/Ornith-1.5-35B-A3B-W4A16-SYM
Base Model(s)	ornith-ai/Ornith-1.5-35B-A3B ornith-ai/Ornith-1.5-35B-A3B
Model Size	35b
Required VRAM	0.6 GB
Updated	2026-08-24
Maintainer	MIRALABS
Model Type	qwen3_5_moe
Model Files	5.7 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 1.2 GB: 1-of-2 0.6 GB: 1-of-2 2.5 GB: 2-of-2 1.2 GB: 2-of-2 0.6 GB: 2-of-2 1.7 GB
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 35B A3B W4A16 SYM 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 35B A3B W4A16 SYM

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 35B A3B NPU2	256K / GB	118	1
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Ornith 1.0 35B	0K / 70.4 GB	3323741	505
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.5 35B A3B	0K / 72.1 GB	1713	201
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Ornith 1.5 35B A3B NVFP4	0K / 23.4 GB	24238	29

Note: green Score (e.g. "73.2") means that the model is better than MIRALABS/Ornith-1.5-35B-A3B-W4A16-SYM.