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Violet Lyra Gutenberg V2 by ohyeah1

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Violet Lyra Gutenberg V2 is an open-source language model by ohyeah1. Features: 12.2b LLM, VRAM: 24.7GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Deploy:azure   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ohyeah1/Violet-Lyra-Gutenberg-v2 

Violet Lyra Gutenberg V2 Benchmarks

LLME Score: 0.17987
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Violet Lyra Gutenberg V2 (ohyeah1/Violet-Lyra-Gutenberg-v2)
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Violet Lyra Gutenberg V2 Parameters and Internals

LLM NameViolet Lyra Gutenberg V2
Repository 🤗https://huggingface.co/ohyeah1/Violet-Lyra-Gutenberg-v2 
Merged ModelYes
Model Size12.2b
Required VRAM24.7 GB
Updated2026-04-04
Maintainerohyeah1
Model Typemistral
Model Files  3.0 GB: 1-of-9   3.0 GB: 2-of-9   2.9 GB: 3-of-9   2.9 GB: 4-of-9   3.0 GB: 5-of-9   2.9 GB: 6-of-9   2.9 GB: 7-of-9   3.0 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131074
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ohyeah1/Violet-Lyra-Gutenberg-v2.

Rank the Violet Lyra Gutenberg V2 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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