What are the hardware requirements for Midnight Rose 103B V2.0.3?

Midnight Rose 103B V2.0.3 requires approximately 206.6 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 Midnight Rose 103B V2.0.3 and how large is it?

Midnight Rose 103B V2.0.3 is developed by sophosympatheia, 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 Midnight Rose 103B V2.0.3?

Midnight Rose 103B V2.0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Midnight Rose 103B V2.0.3 by sophosympatheia — VRAM 206.6GB, 4K context

Name: Midnight Rose 103B V2.0.3
Author: sophosympatheia

Midnight Rose 103B V2.0.3 is an open-source language model by sophosympatheia. Features: 103b LLM, VRAM: 206.6GB, Context: 4K, License: llama2, Merged, LLM Explorer Score: 0.11.

Merged Model Arxiv:2307.11760 Deploy:azure En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sophosympatheia/Midnight-Rose-103B-v2.0.3

Midnight Rose 103B V2.0.3 Parameters and Internals

Model Type

text generation, roleplaying, storytelling

Use Cases

Areas:

roleplaying, storytelling

Considerations:

The model is uncensored and should be used according to applicable legal and ethical standards.

Additional Notes

This model is designed specifically for roleplaying and storytelling but may work for other tasks.

Supported Languages

en (high)

Input Output

Accepted Modalities:

text

Performance Tips:

Recommended context is around 6144 tokens. Use Quadratic Sampling with values between 0.2 and 0.5. Experiment with Min-P values ranging from 0.05 to 0.9.

LLM Name	Midnight Rose 103B V2.0.3
Repository 🤗	https://huggingface.co/sophosympatheia/Midnight-Rose-103B-v2.0.3
Merged Model	Yes
Model Size	103b
Required VRAM	206.6 GB
Updated	2026-07-20
Maintainer	sophosympatheia
Model Type	llama
Model Files	10.0 GB: 1-of-22 9.7 GB: 2-of-22 9.9 GB: 3-of-22 10.0 GB: 4-of-22 9.6 GB: 5-of-22 9.8 GB: 6-of-22 9.8 GB: 7-of-22 9.8 GB: 8-of-22 9.6 GB: 9-of-22 9.7 GB: 10-of-22 9.7 GB: 11-of-22 9.8 GB: 12-of-22 10.0 GB: 13-of-22 9.9 GB: 14-of-22 9.9 GB: 15-of-22 9.8 GB: 16-of-22 10.0 GB: 17-of-22 9.7 GB: 18-of-22 9.8 GB: 19-of-22 9.8 GB: 20-of-22 9.8 GB: 21-of-22 0.5 GB: 22-of-22
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Midnight Rose 103B V2.0.3 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 Midnight Rose 103B V2.0.3

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
OmegaDolphin 103B V0.1	4K / 175.6 GB	6	1
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 sophosympatheia/Midnight-Rose-103B-v2.0.3.