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Twilight SCE 12B V2 by yamatazen

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Twilight SCE 12B V2 is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2408.07990 Base model:elizezen/himeyuri-v... Base model:inflatebot/mn-12b-m... Base model:nbeerbower/mistral-... Base model:pocketdoc/dans-pers... Base model:yamatazen/himeyuri-... Base model:yamatazen/shisa-v2-...   Chatml   Conversational   En   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/Twilight-SCE-12B-v2 

Twilight SCE 12B V2 Benchmarks

LLME Score: 0.19404
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Twilight SCE 12B V2 (yamatazen/Twilight-SCE-12B-v2)
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Twilight SCE 12B V2 Parameters and Internals

LLM NameTwilight SCE 12B V2
Repository 🤗https://huggingface.co/yamatazen/Twilight-SCE-12B-v2 
Base Model(s)  Elizezen/Himeyuri-v0.1-12B   Mistral Nemo Gutenberg 12B V4   Himeyuri Magnum 12B   PocketDoc/Dans-PersonalityEngine-V1.1.0-12b   MN 12B Mag Mell R1   ...2 Mistral Nemo 12B Abliterated   Elizezen/Himeyuri-v0.1-12B   nbeerbower/mistral-nemo-gutenberg-12B-v4   yamatazen/Himeyuri-Magnum-12B   PocketDoc/Dans-PersonalityEngine-V1.1.0-12b   inflatebot/MN-12B-Mag-Mell-R1   yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2026-03-21
Maintaineryamatazen
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 ja
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131075
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yamatazen/Twilight-SCE-12B-v2.

Rank the Twilight SCE 12B 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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