What are the hardware requirements for Ornith 1.5 35B A3B Abliterated MLX BF16?

Ornith 1.5 35B A3B Abliterated MLX BF16 requires approximately 69.9 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 Abliterated MLX BF16 and how large is it?

Ornith 1.5 35B A3B Abliterated MLX BF16 is developed by PocketAiHub, 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 Abliterated MLX BF16?

Ornith 1.5 35B A3B Abliterated MLX BF16 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 Abliterated MLX BF16 by PocketAiHub — VRAM 69.9GB

Name: Ornith 1.5 35B A3B Abliterated MLX BF16
Author: PocketAiHub

Ornith 1.5 35B A3B Abliterated MLX BF16 is an open-source language model by PocketAiHub. Features: 35b LLM, VRAM: 69.9GB, License: mit, LLM Explorer Score: 0.26.

Abliterated Base model:finetune:ornith-ai/... Base model:ornith-ai/ornith-1.... Bf16 Conversational Image-text-to-text Mlx Mlx-vlm Multimodal Ornith Qwen3.5-moe Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PocketAiHub/Ornith-1.5-35B-A3B-Abliterated-MLX-BF16

Ornith 1.5 35B A3B Abliterated MLX BF16 Parameters and Internals

LLM Name	Ornith 1.5 35B A3B Abliterated MLX BF16
Repository 🤗	https://huggingface.co/PocketAiHub/Ornith-1.5-35B-A3B-Abliterated-MLX-BF16
Base Model(s)	ornith-ai/Ornith-1.5-35B-A3B ornith-ai/Ornith-1.5-35B-A3B
Model Size	35b
Required VRAM	69.9 GB
Updated	2026-08-23
Maintainer	PocketAiHub
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-14 5.0 GB: 2-of-14 5.0 GB: 3-of-14 5.0 GB: 4-of-14 5.1 GB: 5-of-14 5.0 GB: 6-of-14 5.0 GB: 7-of-14 5.0 GB: 8-of-14 5.1 GB: 9-of-14 5.0 GB: 10-of-14 5.0 GB: 11-of-14 5.0 GB: 12-of-14 5.1 GB: 13-of-14 4.3 GB: 14-of-14
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ornith 1.5 35B A3B Abliterated MLX BF16 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 Abliterated MLX BF16

Best Alternatives	Context / RAM	Downloads	Likes
....5 35B A3B Sceptic V3 1M W4A16	1024K / 26.1 GB	223	0
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	58	0
Qwen3.6 35B A3B NPU2	256K / GB	82	0
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1332815	517
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665

Note: green Score (e.g. "73.2") means that the model is better than PocketAiHub/Ornith-1.5-35B-A3B-Abliterated-MLX-BF16.