MN 12B Celeste V1.9 by nothingiisreal

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  Autotrain compatible   Conversational Dataset:kalomaze/opus instruct... Dataset:nothingiisreal/c2-logs... Dataset:nothingiisreal/reddit-...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MN 12B Celeste V1.9 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MN 12B Celeste V1.9 Parameters and Internals

LLM NameMN 12B Celeste V1.9
Repository ๐Ÿค—https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9 
Model Size12b
Required VRAM24.5 GB
Updated2024-10-12
Maintainernothingiisreal
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
MN 12B Celeste V1.9 (nothingiisreal/MN-12B-Celeste-V1.9)

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Note: green Score (e.g. "73.2") means that the model is better than nothingiisreal/MN-12B-Celeste-V1.9.

Rank the MN 12B Celeste V1.9 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v2024072803