What are the hardware requirements for Ornstein 3.6 27B RYS?

Ornstein 3.6 27B RYS requires approximately 56.8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ornstein 3.6 27B RYS and how large is it?

Ornstein 3.6 27B RYS is developed by GestaltLabs, a model with 27b 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 Ornstein 3.6 27B RYS?

Ornstein 3.6 27B RYS is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ornstein 3.6 27B RYS by GestaltLabs — VRAM 56.8GB, 256K context

Name: Ornstein 3.6 27B RYS
Author: GestaltLabs

Ornstein 3.6 27B RYS is an open-source language model by GestaltLabs. Features: 27b LLM, VRAM: 56.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:gestaltlab... Base model:gestaltlabs/ornstei... Canada Conversational En Endpoints compatible Qwen3.5 Qwen3.6 Qwen3 5 text Region:us Rys Safetensors Sharded Sovereign-ai Tensorflow

Model Card on HF 🤗: https://huggingface.co/GestaltLabs/Ornstein-3.6-27B-RYS

Ornstein 3.6 27B RYS Parameters and Internals

LLM Name	Ornstein 3.6 27B RYS
Repository 🤗	https://huggingface.co/GestaltLabs/Ornstein-3.6-27B-RYS
Base Model(s)	GestaltLabs/Ornstein-3.6-27B GestaltLabs/Ornstein-3.6-27B
Model Size	27b
Required VRAM	56.8 GB
Updated	2026-05-12
Maintainer	GestaltLabs
Model Type	qwen3_5_text
Model Files	50.0 GB: 1-of-2 6.8 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.6.2
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Errors	replace

Rank the Ornstein 3.6 27B RYS capabilities

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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 Ornstein 3.6 27B RYS

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1	256K / 53.8 GB	12371	880
Hemmingway 1	256K / 53.8 GB	9089	888
JEV 27B	256K / 53.9 GB	178643	79
OrcaSAQ 2 27B	256K / 12.3 GB	1330	169
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Darwin 27B RSI	256K / 53.8 GB	459	14
Solar JEV 27B NVFP4 FP8	256K / 29.2 GB	41	1
RAG Gate 27B	256K / 53.8 GB	243	0
Mnma Qwen3.8 27b Nvfp4	256K / 18.8 GB	527	11
Solar JEV 27B R32	256K / 54.6 GB	53	0

Note: green Score (e.g. "73.2") means that the model is better than GestaltLabs/Ornstein-3.6-27B-RYS.