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MN RocinanteCelestar 12B by rityak

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  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 Benchmarks

LLME Score: 0.21966
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MN RocinanteCelestar 12B (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 NameMN 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 ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-01-23
Maintainerrityak
Model Typemistral
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 ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.44.1
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rityak/MN-RocinanteCelestar-12B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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