What are the hardware requirements for Riemannian Redshift 12B V1?

Riemannian Redshift 12B V1 requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Riemannian Redshift 12B V1 and how large is it?

Riemannian Redshift 12B V1 is developed by Naphula, a model with 12b 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 Riemannian Redshift 12B V1?

Riemannian Redshift 12B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Riemannian Redshift 12B V1 by Naphula — VRAM 24.5GB, 128K context

Name: Riemannian Redshift 12B V1
Author: Naphula

Riemannian Redshift 12B V1 is an open-source language model by Naphula. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.23.

Merged Model Base model:vortex5/amber-starl... Base model:vortex5/astral-noct... Base model:vortex5/azure-starl... Base model:vortex5/crimson-con... Base model:vortex5/maroon-suns... Base model:vortex5/red-synthes... Base model:vortex5/scarlet-ser... Base model:vortex5/shining-ser... Base model:vortex5/starlit-sha... Base model:vortex5/vermilion-s... Conversational En Endpoints compatible Karcher Mistral Nemo Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Naphula/Riemannian-Redshift-12B-v1

Riemannian Redshift 12B V1 Parameters and Internals

LLM Name	Riemannian Redshift 12B V1
Repository 🤗	https://huggingface.co/Naphula/Riemannian-Redshift-12B-v1
Base Model(s)	Vortex5/Astral-Noctra-12B Vortex5/Azure-Starlight-12B Crimson Constellation 12B Red Synthesis 12B Shining Seraph 12B Vortex5/Starlit-Shadow-12B Vortex5/Vermilion-Sage-12B Vortex5/Scarlet-Seraph-12B Vortex5/Maroon-Sunset-12B Vortex5/Amber-Starlight-12B Vortex5/Astral-Noctra-12B Vortex5/Azure-Starlight-12B Vortex5/Crimson-Constellation-12B Vortex5/Red-Synthesis-12B Vortex5/Shining-Seraph-12B Vortex5/Starlit-Shadow-12B Vortex5/Vermilion-Sage-12B Vortex5/Scarlet-Seraph-12B Vortex5/Maroon-Sunset-12B Vortex5/Amber-Starlight-12B
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-08
Maintainer	Naphula
Model Type	mistral
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	</s>
Vocabulary Size	131078

Rank the Riemannian Redshift 12B V1 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 Riemannian Redshift 12B V1

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than Naphula/Riemannian-Redshift-12B-v1.