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MN Maghin 12B by rityak

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible Base model:anthracite-org/magn... Base model:cognitivecomputatio... Base model:elinas/chronos-gold... Base model:nbeerbower/lyra-gut...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/MN-Maghin-12B 

MN Maghin 12B Benchmarks

LLME Score: 0.19525
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MN Maghin 12B (rityak/MN-Maghin-12B)

MN Maghin 12B Parameters and Internals

Additional Notes 
This model is a merge of several pre-trained language models using the DARE TIES merge method with specific parameters.
LLM NameMN Maghin 12B
Repository 🤗https://huggingface.co/rityak/MN-Maghin-12B 
Base Model(s)  elinas/Chronos-Gold-12B-1.0   ...yra Gutenberg Mistral Nemo 12B   cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   anthracite-org/magnum-v2.5-12b-kto   elinas/Chronos-Gold-12B-1.0   nbeerbower/Lyra-Gutenberg-mistral-nemo-12B   cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   anthracite-org/magnum-v2.5-12b-kto
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-02-16
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 ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

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

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Instruction Following and Task Automation  
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Release v20241227
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