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Atlantis V0.1 12B by invisietch

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Atlantis V0.1 12B is an open-source language model by invisietch. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.15.

  Merged Model   Autotrain compatible   Axolotl   Conversational   En   Endpoints compatible   Mistral   Not-for-all-audiences   Qlora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/invisietch/Atlantis-v0.1-12B 

Atlantis V0.1 12B Benchmarks

LLME Score: 0.14775
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Atlantis V0.1 12B (invisietch/Atlantis-v0.1-12B)
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Atlantis V0.1 12B Parameters and Internals

Additional Notes 
This model is built on top of Mistral's Nemo-2407-Instruct model and is a finetune aimed at improving RP/storytelling capabilities. The model may lose coherence beyond 24K context in an RP setting. It can generate explicit, disturbing, or offensive responses and should be used responsibly.
Supported Languages 
en (English)
Training Details 
Data Sources:
SicariusSicariiStuff, PJMixers, mrfakename, lodrick-the-lafted
Context Length:
128000
Hardware Used:
2x A100 80GB GPUs
Input Output 
Input Format:
Mistral prompt format
Performance Tips:
Use a low temperature setting of 0.3-0.5 to improve the model's performance.
LLM NameAtlantis V0.1 12B
Repository 🤗https://huggingface.co/invisietch/Atlantis-v0.1-12B 
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
Maintainerinvisietch
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.1
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 invisietch/Atlantis-v0.1-12B.

Rank the Atlantis V0.1 12B 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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