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Violet Twilight V0.1 by Epiculous

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  Merged Model   Conversational Dataset:epiculous/synthrp-gens... Dataset:epiculous/synthstruct-...   De   En   Es   Fr   It   Ja   Mistral   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/Epiculous/Violet_Twilight-v0.1 

Violet Twilight V0.1 Benchmarks

LLME Score: 0.21052
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Violet Twilight V0.1 (Epiculous/Violet_Twilight-v0.1)

Violet Twilight V0.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a SLERP merge of Azure_Dusk and Crimson_Dawn. It has some quantized model performance considerations with certain prompt templates.
Supported Languages 
en (supported), fr (supported), de (supported), es (supported), it (supported), pt (supported), ru (supported), zh (supported), ja (supported)
Training Details 
Data Sources:
Epiculous/SynthRP-Gens-v1-Filtered-n-Cleaned, Epiculous/Synthstruct-Gens-v1-Filtered-n-Cleaned
Methodology:
SLERP merge of Azure_Dusk and Crimson_Dawn
Input Output 
Input Format:
~~[INST] Prompt goes here [/INST] <\s>
Performance Tips:
If using GGUF, consider using ChatML as it performs better.
LLM NameViolet Twilight V0.1
Repository 🤗https://huggingface.co/Epiculous/Violet_Twilight-v0.1 
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2025-02-22
MaintainerEpiculous
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
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-v0.1.

Rank the Violet Twilight V0.1 Capabilities

🆘 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! 🌟

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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Release v20241227
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