MN Dark Planet TITAN 12B by DavidAU

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MN Dark Planet TITAN 12B is an open-source language model by DavidAU. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, LLM Explorer Score: 0.16.

  Autotrain compatible   Endpoints compatible   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow

MN Dark Planet TITAN 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MN Dark Planet TITAN 12B Parameters and Internals

Additional Notes 
This repo contains the full precision source code, in 'safe tensors' format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats. The source code can also be used directly.
LLM NameMN Dark Planet TITAN 12B
Repository 🤗https://huggingface.co/DavidAU/MN-Dark-Planet-TITAN-12B 
Model Size12b
Required VRAM23.8 GB
Updated2025-09-23
MaintainerDavidAU
Model Typemistral
Model Files  1.3 GB: 1-of-25   1.3 GB: 2-of-25   1.0 GB: 3-of-25   0.9 GB: 4-of-25   0.9 GB: 5-of-25   0.9 GB: 6-of-25   1.0 GB: 7-of-25   0.9 GB: 8-of-25   0.9 GB: 9-of-25   0.9 GB: 10-of-25   1.0 GB: 11-of-25   0.9 GB: 12-of-25   0.9 GB: 13-of-25   0.9 GB: 14-of-25   1.0 GB: 15-of-25   0.9 GB: 16-of-25   0.9 GB: 17-of-25   0.9 GB: 18-of-25   1.0 GB: 19-of-25   0.9 GB: 20-of-25   0.9 GB: 21-of-25   0.9 GB: 22-of-25   1.0 GB: 23-of-25   0.9 GB: 24-of-25   0.8 GB: 25-of-25
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/MN-Dark-Planet-TITAN-12B.

Rank the MN Dark Planet TITAN 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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Release v20260328a