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MN 12B Tarsus by Envoid

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MN 12B Tarsus is an open-source language model by Envoid. Features: 12b LLM, VRAM: 24.6GB, Context: 1000K, License: cc-by-nc-2.0, Instruction-Based, LLM Explorer Score: 0.15.

  Instruct   Mistral   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Envoid/MN-12B-Tarsus 

MN 12B Tarsus Benchmarks

LLME Score: 0.14992
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MN 12B Tarsus (Envoid/MN-12B-Tarsus)
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MN 12B Tarsus Parameters and Internals

Model Type 
full-weight finetune
Use Cases 
Applications:
chatting, roleplaying via SillyTavern
Limitations:
sometimes fumbles with tokens in odd places, imperfect for assistant capabilities
Additional Notes 
- Reduce shiver-slop - More conversationally proactive - Less gratuitous purple prose - Reducing overall positivity bias
Training Details 
Methodology:
Finetuned on a corpus that includes adult content
LLM NameMN 12B Tarsus
Repository 🤗https://huggingface.co/Envoid/MN-12B-Tarsus 
Model Size12b
Required VRAM24.6 GB
Updated2025-09-23
MaintainerEnvoid
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.8 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Envoid/MN-12B-Tarsus.

Rank the MN 12B Tarsus 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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