What are the hardware requirements for KitchenSink 103B?

KitchenSink 103B requires approximately 178.6 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 KitchenSink 103B and how large is it?

KitchenSink 103B is developed by MarsupialAI, 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 KitchenSink 103B?

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

KitchenSink 103B by MarsupialAI — VRAM 178.6GB, 4K context

Name: KitchenSink 103B
Author: MarsupialAI

KitchenSink 103B is an open-source language model by MarsupialAI. Features: 103b LLM, VRAM: 178.6GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

Chat En Endpoints compatible Erp Llama Region:us Rp Safetensors Sharded Storywriting Tensorflow

Model Card on HF 🤗: https://huggingface.co/MarsupialAI/KitchenSink_103b

KitchenSink 103B Parameters and Internals

LLM Name	KitchenSink 103b
Repository 🤗	https://huggingface.co/MarsupialAI/KitchenSink_103b
Model Size	103b
Required VRAM	178.6 GB
Updated	2026-08-06
Maintainer	MarsupialAI
Model Type	llama
Model Files	4.0 GB: 1-of-55 3.9 GB: 2-of-55 3.9 GB: 3-of-55 3.6 GB: 4-of-55 3.9 GB: 5-of-55 3.6 GB: 6-of-55 3.9 GB: 7-of-55 3.9 GB: 8-of-55 3.7 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 3.9 GB: 14-of-55 3.7 GB: 15-of-55 3.6 GB: 16-of-55 3.9 GB: 17-of-55 3.9 GB: 18-of-55 3.9 GB: 19-of-55 3.6 GB: 20-of-55 3.9 GB: 21-of-55 3.7 GB: 22-of-55 3.6 GB: 23-of-55 3.8 GB: 24-of-55 3.9 GB: 25-of-55 3.6 GB: 26-of-55 3.9 GB: 27-of-55 3.9 GB: 28-of-55 3.7 GB: 29-of-55 3.9 GB: 30-of-55 3.7 GB: 31-of-55 3.6 GB: 32-of-55 3.9 GB: 33-of-55 3.9 GB: 34-of-55 3.9 GB: 35-of-55 3.9 GB: 36-of-55 3.7 GB: 37-of-55 3.9 GB: 38-of-55 3.5 GB: 39-of-55 3.9 GB: 40-of-55 3.9 GB: 41-of-55 3.9 GB: 42-of-55 3.7 GB: 43-of-55 3.9 GB: 44-of-55 3.6 GB: 45-of-55 3.9 GB: 46-of-55 3.9 GB: 47-of-55
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Vocabulary Size	32000
Torch Data Type	float16

Rank the KitchenSink 103B 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 KitchenSink 103B

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
OmegaDolphin 103B V0.1	4K / 175.6 GB	6	1
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 MarsupialAI/KitchenSink_103b.