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

Violet Twilight V0.1 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 V0.1 (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 ๐Ÿค—https://huggingface.co/Epiculous/Violet_Twilight-v0.1 
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2025-01-24
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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Violet Twilight V0.21000K / 24.5 GB5543122
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...al Nemo Japanese Instruct 24081000K / 24.5 GB269131
Crimson Dawn V0.21000K / 24.5 GB1512
...istralnemo DPO V7 Rp Pantsftv11000K / 24.5 GB331
Azure Dusk V0.21000K / 24.5 GB187
...istral Nemo Base 2407 Sft V2.11000K / 24.5 GB311
Questionable MN Bf161000K / 24.5 GB811
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

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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