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Shisa V2 Mistral Nemo 12B Abliterated by yamatazen

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Shisa V2 Mistral Nemo 12B Abliterated is an open-source language model by yamatazen. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.2.

  Merged Model   Arxiv:2306.01708   Abliterated   Autotrain compatible Base model:natong19/mistral-ne... Base model:shisa-ai/shisa-v2-m...   Conversational   En   Endpoints compatible   Instruct   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated 

Shisa V2 Mistral Nemo 12B Abliterated Benchmarks

LLME Score: 0.19586
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Shisa V2 Mistral Nemo 12B Abliterated (yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated)
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Shisa V2 Mistral Nemo 12B Abliterated Parameters and Internals

LLM NameShisa V2 Mistral Nemo 12B Abliterated
Repository 🤗https://huggingface.co/yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated 
Base Model(s)  Shisa V2 Mistral Nemo 12B   ...Nemo Instruct 2407 Abliterated   shisa-ai/shisa-v2-mistral-nemo-12b   natong19/Mistral-Nemo-Instruct-2407-abliterated
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
Maintaineryamatazen
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 ja
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
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 yamatazen/Shisa-v2-Mistral-Nemo-12B-Abliterated.

Rank the Shisa V2 Mistral Nemo 12B Abliterated 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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