What are the hardware requirements for OmegaDolphin 103B V0.1?

OmegaDolphin 103B V0.1 requires approximately 175.6 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OmegaDolphin 103B V0.1 and how large is it?

OmegaDolphin 103B V0.1 is developed by MaziyarPanahi, a model with 103b 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 OmegaDolphin 103B V0.1?

OmegaDolphin 103B V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OmegaDolphin 103B V0.1 by MaziyarPanahi — VRAM 175.6GB, 4K context

Name: OmegaDolphin 103B V0.1
Author: MaziyarPanahi

OmegaDolphin 103B V0.1 is an open-source language model by MaziyarPanahi. Features: 103b LLM, VRAM: 175.6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.11.

Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/OmegaDolphin-103b-v0.1

OmegaDolphin 103B V0.1 Parameters and Internals

LLM Name	OmegaDolphin 103B V0.1
Repository 🤗	https://huggingface.co/MaziyarPanahi/OmegaDolphin-103b-v0.1
Model Size	103b
Required VRAM	175.6 GB
Updated	2026-08-01
Maintainer	MaziyarPanahi
Model Type	llama
Model Files	3.9 GB: 1-of-55 3.7 GB: 2-of-55 3.8 GB: 3-of-55 3.7 GB: 4-of-55 3.6 GB: 5-of-55 3.9 GB: 6-of-55 3.8 GB: 7-of-55 3.9 GB: 8-of-55 3.8 GB: 9-of-55 3.9 GB: 10-of-55 3.9 GB: 11-of-55 3.7 GB: 12-of-55 3.6 GB: 13-of-55 3.8 GB: 14-of-55 3.9 GB: 15-of-55 3.6 GB: 16-of-55 3.9 GB: 17-of-55 3.9 GB: 18-of-55 3.6 GB: 19-of-55 3.9 GB: 20-of-55 3.9 GB: 21-of-55 3.7 GB: 22-of-55 3.9 GB: 23-of-55 3.9 GB: 24-of-55 3.9 GB: 25-of-55 3.7 GB: 26-of-55 3.9 GB: 27-of-55 3.8 GB: 28-of-55 3.9 GB: 29-of-55 3.7 GB: 30-of-55 3.6 GB: 31-of-55 3.8 GB: 32-of-55 3.9 GB: 33-of-55 4.0 GB: 34-of-55 3.9 GB: 35-of-55 4.0 GB: 36-of-55 3.8 GB: 37-of-55 3.9 GB: 38-of-55 3.6 GB: 39-of-55 3.9 GB: 40-of-55 3.9 GB: 41-of-55 3.9 GB: 42-of-55 3.9 GB: 43-of-55 3.6 GB: 44-of-55 3.9 GB: 45-of-55 3.9 GB: 46-of-55
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.2
Vocabulary Size	32002
Torch Data Type	float16

Rank the OmegaDolphin 103B V0.1 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 OmegaDolphin 103B V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Dark Miqu 103B	31K / 206.4 GB	30	2
BigWeave V15 103B	31K / 206.6 GB	85	2
Midnight Miqu 103B V1.5	31K / 206.4 GB	33	28
Midnight Miqu 103B V1.0	31K / 206.4 GB	85	16
Midnight Rose 103B V2.0.3	4K / 206.6 GB	93	13
KitchenSink 103b	4K / 178.6 GB	13	9
Midnight Rose 103B V1.0	4K / 206.6 GB	11	3
Aurora Nights 103B V1.0	4K / 206.6 GB	6	14
Rogue Rose 103B V0.2	4K / 206.5 GB	12	33
Lila 103B L2	4K / 206.2 GB	0	0

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/OmegaDolphin-103b-v0.1.