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NemoDori V0.1 12B MS by RozGrov

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RozGrov/NemoDori-v0.1-12B-MS 

NemoDori V0.1 12B MS Benchmarks

LLME Score: 0.21234
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NemoDori V0.1 12B MS (RozGrov/NemoDori-v0.1-12B-MS)

NemoDori V0.1 12B MS Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
text-generation
Additional Notes 
This model is a merged model mainly for experimentation and testing. It's noted for advancing stories slowly and providing creative, sometimes surprising responses.
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
Performance Tips:
Use temperature settings for creativity and control special tokens if needed.
LLM NameNemoDori V0.1 12B MS
Repository 🤗https://huggingface.co/RozGrov/NemoDori-v0.1-12B-MS 
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-01-24
MaintainerRozGrov
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 Version4.43.4
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 RozGrov/NemoDori-v0.1-12B-MS.

Rank the NemoDori V0.1 12B MS 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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