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Mnl by iamPi

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Mnl is an open-source language model by iamPi. Features: 16b LLM, VRAM: 32.6GB, Context: 128K, LLM Explorer Score: 0.3.

  Deepseek v3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/iamPi/mnl 

Mnl Benchmarks

LLME Score: 0.30291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mnl (iamPi/mnl)
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Mnl Parameters and Internals

LLM NameMnl
Repository 🤗https://huggingface.co/iamPi/mnl 
Model Size16b
Required VRAM32.6 GB
Updated2026-05-12
MaintaineriamPi
Model Typedeepseek_v3
Model Files  0.8 GB: 1-of-27   1.2 GB: 10-of-27   1.2 GB: 11-of-27   1.2 GB: 12-of-27   1.2 GB: 13-of-27   1.2 GB: 14-of-27   1.2 GB: 15-of-27   1.2 GB: 16-of-27   1.2 GB: 17-of-27   1.2 GB: 18-of-27   1.2 GB: 19-of-27   1.2 GB: 2-of-27   1.2 GB: 20-of-27   1.2 GB: 21-of-27   1.2 GB: 22-of-27   1.2 GB: 23-of-27   1.2 GB: 24-of-27   1.2 GB: 25-of-27   1.2 GB: 26-of-27   1.8 GB: 27-of-27   1.2 GB: 3-of-27   1.2 GB: 4-of-27   1.2 GB: 5-of-27   1.2 GB: 6-of-27   1.2 GB: 7-of-27   1.2 GB: 8-of-27   1.2 GB: 9-of-27
Model ArchitectureDeepseekV3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version5.7.0
Tokenizer ClassTokenizersBackend
Padding Token[PAD]
Vocabulary Size163840

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Rank the Mnl 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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Release v20260328a
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