MN 12B Starcannon V3 by nothingiisreal

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:anthracite-org/magn... Base model:nothingiisreal/mn-1...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MN 12B Starcannon V3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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MN 12B Starcannon V3 Parameters and Internals

Model Type 
pre-trained language model, merge
Training Details 
Data Sources:
anthracite-org/magnum-12b-v2, nothingiisreal/MN-12B-Celeste-V1.9
Methodology:
TIES
LLM NameMN 12B Starcannon V3
Repository ๐Ÿค—https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v3 
Base Model(s)  Magnum 12B V2   nothingiisreal/MN-12B-Celeste-V1.9   anthracite-org/magnum-12b-v2   nothingiisreal/MN-12B-Celeste-V1.9
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2024-12-04
Maintainernothingiisreal
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
MN 12B Starcannon V3 (nothingiisreal/MN-12B-Starcannon-v3)

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Note: green Score (e.g. "73.2") means that the model is better than nothingiisreal/MN-12B-Starcannon-v3.

Rank the MN 12B Starcannon V3 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 v20241124