Violet Twilight V0.2 by Epiculous

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  Merged Model   Conversational Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo op... Dataset:anthracite-org/nopm cl... Dataset:anthracite-org/stheno-... Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-... Dataset:gryphe/sonnet3.5-charc... Dataset:pjmixers/hieunguyenmin...   De   En   Es   Fr   Instruct   It   Ja   Mistral   Model-index   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh

Violet Twilight V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Violet Twilight V0.2 (Epiculous/Violet_Twilight-v0.2)

Violet Twilight V0.2 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (fluent), fr (fluent), de (fluent), es (fluent), it (fluent), pt (fluent), ru (fluent), zh (fluent), ja (fluent)
Input Output 
Input Format:
ChatML structure
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
Violet_Twilight-v0.2
Notes:
Merged model of Azure_Dusk-v0.2 and Crimson_Dawn-v0.2 using SLERP with specific configurations.
LLM NameViolet Twilight V0.2
Repository ๐Ÿค—https://huggingface.co/Epiculous/Violet_Twilight-v0.2 
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2025-03-22
MaintainerEpiculous
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 fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
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 Epiculous/Violet_Twilight-v0.2.

Rank the Violet Twilight V0.2 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 v20241227