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NM Vikhr Magnum Dare 12B by rityak

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  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:rityak/magnum-darel... Base model:rityak/vikhr-nemo-d...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rityak/NM-Vikhr-Magnum-dare-12B 

NM Vikhr Magnum Dare 12B Benchmarks

LLME Score: 0.26799
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NM Vikhr Magnum Dare 12B (rityak/NM-Vikhr-Magnum-dare-12B)

NM Vikhr Magnum Dare 12B Parameters and Internals

LLM NameNM Vikhr Magnum Dare 12B
Repository 🤗https://huggingface.co/rityak/NM-Vikhr-Magnum-dare-12B 
Base Model(s)  ...LinearAbliterated Instruct DPO   ...ikhr Nemo Dostoevsky Saiga 12B   rityak/Magnum-DareLinearAbliterated-Instruct-DPO   rityak/Vikhr-Nemo-dostoevsky-saiga-12b
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-01-20
Maintainerrityak
Model Typemistral
Instruction-BasedYes
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 Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rityak/NM-Vikhr-Magnum-dare-12B.

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Release v20241227
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