What are the hardware requirements for MN RocinanteCelestar 12B?

MN RocinanteCelestar 12B requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MN RocinanteCelestar 12B and how large is it?

MN RocinanteCelestar 12B is developed by rityak, 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 MN RocinanteCelestar 12B?

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

MN RocinanteCelestar 12B by rityak — VRAM 24.5GB, 1000K context

Name: MN RocinanteCelestar 12B
Author: rityak

MN RocinanteCelestar 12B is an open-source language model by rityak. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.14.

Merged Model Arxiv:2306.01708 Arxiv:2311.03099 Autotrain compatible Base model:nothingiisreal/mn-1... Base model:nothingiisreal/mn-1... Base model:thedrummer/rocinant... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rityak/MN-RocinanteCelestar-12B

MN RocinanteCelestar 12B Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models created using mergekit, employing the DARE TIES merge method.

LLM Name	MN RocinanteCelestar 12B
Repository 🤗	https://huggingface.co/rityak/MN-RocinanteCelestar-12B
Base Model(s)	nothingiisreal/MN-12B-Celeste-V1.9 Rocinante 12B V1 MN 12B Starcannon V3 nothingiisreal/MN-12B-Celeste-V1.9 TheDrummer/Rocinante-12B-v1 nothingiisreal/MN-12B-Starcannon-v3
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-02-16
Maintainer	rityak
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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.1
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the MN RocinanteCelestar 12B 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

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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
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Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
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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 rityak/MN-RocinanteCelestar-12B.