What are the hardware requirements for Ornith 1.5 122B Mlx 8bit?

Ornith 1.5 122B Mlx 8bit requires approximately 129.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornith 1.5 122B Mlx 8bit and how large is it?

Ornith 1.5 122B Mlx 8bit is developed by ToPo-ToPo, a model with 122b 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 122B Mlx 8bit?

Ornith 1.5 122B Mlx 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornith 1.5 122B Mlx 8bit by ToPo-ToPo — VRAM 129.7GB

Name: Ornith 1.5 122B Mlx 8bit
Author: ToPo-ToPo

Ornith 1.5 122B Mlx 8bit is an open-source language model by ToPo-ToPo. Features: 122b LLM, VRAM: 129.7GB, License: mit, Quantized, LLM Explorer Score: 0.3.

8-bit 8bit Base model:ornith-ai/ornith-1.... Base model:quantized:ornith-ai... Conversational Image-text-to-text Mlx Quantized Qwen3 5 moe Region:us Safetensors Sharded Tensorflow Vision

Model Card on HF 🤗: https://huggingface.co/ToPo-ToPo/Ornith-1.5-122B-mlx-8bit

Ornith 1.5 122B Mlx 8bit Parameters and Internals

LLM Name	Ornith 1.5 122B Mlx 8bit
Repository 🤗	https://huggingface.co/ToPo-ToPo/Ornith-1.5-122B-mlx-8bit
Base Model(s)	ornith-ai/Ornith-1.5-122B ornith-ai/Ornith-1.5-122B
Model Size	122b
Required VRAM	129.7 GB
Updated	2026-10-30
Maintainer	ToPo-ToPo
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-25 5.3 GB: 2-of-25 5.3 GB: 3-of-25 5.3 GB: 4-of-25 5.3 GB: 5-of-25 5.3 GB: 6-of-25 5.3 GB: 7-of-25 5.3 GB: 8-of-25 5.3 GB: 9-of-25 5.3 GB: 10-of-25 5.3 GB: 11-of-25 5.3 GB: 12-of-25 5.3 GB: 13-of-25 5.3 GB: 14-of-25 5.3 GB: 15-of-25 5.3 GB: 16-of-25 5.3 GB: 17-of-25 5.3 GB: 18-of-25 5.3 GB: 19-of-25 5.3 GB: 20-of-25 5.3 GB: 21-of-25 5.3 GB: 22-of-25 5.3 GB: 23-of-25 5.3 GB: 24-of-25 2.5 GB: 25-of-25
Quantization Type	8bit
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 122B Mlx 8bit 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 122B Mlx 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 122B A10B 8bit	0K / 129.7 GB	4124	2
Ornith 1.5 122B MLX 4bit	0K / 69.8 GB	377	1
Qwen3.5 122B A10B 4bit	0K / 69.5 GB	14412	19
... 122B A10B OptiQ 2bit REAP 63B	0K / 24.7 GB	367	1
Qwen3.5 122B A10B OptiQ 2bit	0K / 46.1 GB	1093	4
Qwen3.5 122B A10B 6bit	0K / 100.1 GB	3846	3
...3.5 122B A10B GameDev MLX 4bit	0K / 44.4 GB	193	4
Qwen3.5 122B A10B 5bit	0K / 85.2 GB	654	2
Qwen3.5 122B A10B 6bit Gs32	0K / 107.9 GB	100	1
...22B A10B Vision MLX Mixed 4bit	0K / 4.7 GB	44	0

Note: green Score (e.g. "73.2") means that the model is better than ToPo-ToPo/Ornith-1.5-122B-mlx-8bit.