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Dhanishtha Nsfw by HelpingAI

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Dhanishtha Nsfw is an open-source language model by HelpingAI. Features: 14.8b LLM, VRAM: 29.5GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.21.

  Autotrain compatible Base model:finetune:helpingai/... Base model:helpingai/dhanishth...   Conversational Dataset:unfilteredai/unfiltere...   Endpoints compatible   Not-for-all-audiences   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HelpingAI/Dhanishtha-nsfw 

Dhanishtha Nsfw Benchmarks

LLME Score: 0.21267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dhanishtha Nsfw (HelpingAI/Dhanishtha-nsfw)
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Dhanishtha Nsfw Parameters and Internals

LLM NameDhanishtha Nsfw
Repository 🤗https://huggingface.co/HelpingAI/Dhanishtha-nsfw 
Base Model(s)  HelpingAI/Dhanishtha-2.0-preview   HelpingAI/Dhanishtha-2.0-preview
Model Size14.8b
Required VRAM29.5 GB
Updated2025-09-23
MaintainerHelpingAI
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.54.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Dhanishtha Nsfw

Best Alternatives
Context / RAM
Downloads
Likes
Darkit V2.5 Transformers40K / 29.5 GB04
QiMing Janus Rhapsody40K / 29.2 GB400
Dhanishtha 2.0 Preview 082540K / 29.5 GB3119
Merged16 Qwen Grpo 240K / 29.5 GB60
Merged16 Qwen Grpo 340K / 29.5 GB60
Note: green Score (e.g. "73.2") means that the model is better than HelpingAI/Dhanishtha-nsfw.

Rank the Dhanishtha Nsfw 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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