What are the hardware requirements for Ornith 1.5 35B A3B OptiQ 4bit?

Ornith 1.5 35B A3B OptiQ 4bit requires approximately 22.2 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 OptiQ 4bit and how large is it?

Ornith 1.5 35B A3B OptiQ 4bit is developed by mlx-community, 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 OptiQ 4bit?

Ornith 1.5 35B A3B OptiQ 4bit 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 OptiQ 4bit by mlx-community — VRAM 22.2GB

Name: Ornith 1.5 35B A3B OptiQ 4bit
Author: mlx-community

Ornith 1.5 35B A3B OptiQ 4bit is an open-source language model by mlx-community. Features: 35b LLM, VRAM: 22.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

4-bit 4bit Agentic Apple-silicon Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Conversational En Function-calling Image-text-to-text Long-context Mixed-precision Mixture-of-experts Mlx Moe Mtp Multi-token-prediction Multimodal Optiq Quantized Qwen3.5 Qwen3 5 moe Reasoning Region:us Safetensors Sharded Tensorflow Tool-use Vision

Model Card on HF 🤗: https://huggingface.co/mlx-community/Ornith-1.5-35B-A3B-OptiQ-4bit

Ornith 1.5 35B A3B OptiQ 4bit Parameters and Internals

LLM Name	Ornith 1.5 35B A3B OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/Ornith-1.5-35B-A3B-OptiQ-4bit
Base Model(s)	ornith-ai/Ornith-1.5-35B-A3B ornith-ai/Ornith-1.5-35B-A3B
Model Size	35b
Required VRAM	22.2 GB
Updated	2026-08-27
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.2 GB: 1-of-5 5.3 GB: 2-of-5 5.4 GB: 3-of-5 5.2 GB: 4-of-5 1.1 GB: 5-of-5
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 35B A3B OptiQ 4bit 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 OptiQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B MLX 4bit	0K / 20.5 GB	513193	6
Qwen3.6 35B A3B MLX 6bit	0K / 28.9 GB	478592	2
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	473537	1
Qwen3.6 35B A3B UD MLX 4bit	0K / 21.6 GB	15720	112
Qwen3.6 35B A3B MLX 8bit	0K / 37.8 GB	3862	41
Nail Qwen3.6 35B A3B MLX 5bit	0K / 27.5 GB	83	1
Qwen3.6 35B A3B 6bit	0K / 28.9 GB	2742	8
Qwen3.6 35B A3B UD MLX 3bit	0K / 17.3 GB	2292	13
Qwen3.6 35B A3B 5bit	0K / 24.7 GB	1628	5
Ornith 1.5 35B A3B MLX 6bit	0K / 28 GB	34209	6

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Ornith-1.5-35B-A3B-OptiQ-4bit.