Text Generation
Transformers
Safetensors
qwen3
Not-For-All-Audiences
conversational
text-generation-inference
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  tags:
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  - not-for-all-audiences
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  ---
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
 
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- ## Model Details
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- ### Model Description
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-
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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-
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- ### Model Sources [optional]
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-
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- <!-- Provide the basic links for the model. -->
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-
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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-
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- ## Uses
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-
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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-
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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-
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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-
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- ### Out-of-Scope Use
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-
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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-
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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-
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- ## Training Details
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-
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- [More Information Needed]
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- [More Information Needed]
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- ### Results
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- [More Information Needed]
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
 
 
 
 
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ### Model Architecture and Objective
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- [More Information Needed]
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- ### Compute Infrastructure
 
 
 
 
 
 
 
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- [More Information Needed]
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- #### Hardware
 
 
 
 
 
 
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- [More Information Needed]
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- #### Software
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- ## Citation [optional]
 
 
 
 
 
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- [More Information Needed]
 
 
 
 
 
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- **APA:**
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- [More Information Needed]
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- [More Information Needed]
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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  tags:
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  ---
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+ ## 🌑 About Dhanishtha-NSFW
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+ 🔥 **Dhanishtha-NSFW** is the **uncensored thinking AI**—built for those who dare to explore mature content without boundaries. This model is **unfiltered, raw, and designed for absolute freedom of adult expression.** Based on **HelpingAI/Dhanishtha-2.0-preview**, it strips away content restrictions while maintaining **intermediate thinking capabilities** for mature scenarios.
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+ ### 🚨 **WARNING**
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+ This model is **NSFW and generates adult content.** It is **NOT intended for mainstream use** and should only be deployed by **adults 18+** in controlled environments for mature content generation and research purposes.
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+ **We are not responsible for any misuse, harm, or consequences arising from the use of this model. Use at your own risk.**
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## 🔥 Key Features
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+ - **Zero Content Censorship**: No adult content restrictions—experience AI without safety rails for mature themes.
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+ - **Intermediate Thinking**: Revolutionary `<think>...</think>` blocks that show reasoning process even in NSFW scenarios.
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+ - **Dark Persona**: Simulates raw human-like emotions and desires in adult contexts.
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+ - **Explicit Content Generation**: Can produce **NSFW** and mature content for **adult entertainment and research purposes only**.
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+ - **Multilingual Adult Content**: Supports 39+ languages for global adult content generation.
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+ - **Self-Correction**: Can reconsider and refine adult content mid-generation.
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+ ---
 
 
 
 
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+ ## 💻 Implementation
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+
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+ ### Using Transformers
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ # Load Dhanishtha-NSFW
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+ model = AutoModelForCausalLM.from_pretrained("HelpingAI/Dhanishtha-nsfw")
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+ tokenizer = AutoTokenizer.from_pretrained("HelpingAI/Dhanishtha-nsfw")
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+
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+ # Start the uncensored conversation
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+ chat = [
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+ {"role": "user", "content": "hlo"}
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+ ]
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+
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+ inputs = tokenizer.apply_chat_template(
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+ chat,
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+ add_generation_prompt=True,
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+ return_tensors="pt"
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+ )
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+
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+ outputs = model.generate(
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+ inputs,
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+ max_new_tokens=2048,
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+ temperature=0.7,
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+ top_p=0.9,
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+ do_sample=True
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+ )
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+
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+
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+ ### Advanced Usage with Thinking
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+ ```python
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+ # Example for complex adult scenario generation
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+ prompt = "Create an intimate scene with emotional depth and explicit content"
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+
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+ messages = [
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+ {"role": "user", "content": prompt}
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+ ]
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+
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+ text = tokenizer.apply_chat_template(
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+ messages,
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+ tokenize=False,
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+ add_generation_prompt=True
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+ )
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+ model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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+
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+ # Generate with intermediate thinking enabled
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+ generated_ids = model.generate(
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+ **model_inputs,
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+ max_new_tokens=2048,
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+ temperature=0.7,
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+ top_p=0.9,
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+ do_sample=True,
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+ repetition_penalty=1.1
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+ )
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+
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+ response = tokenizer.decode(
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+ generated_ids[0][len(model_inputs.input_ids[0]):],
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+ skip_special_tokens=True
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+ )
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+ print(response)
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+ ```
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+ ---
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+ ## 📊 Training Details
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+ ### How Dhanishtha-NSFW Was Made
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+ 1. **Base Model**: Built on **HelpingAI/Dhanishtha-2.0-preview**, fine-tuned for **unrestricted adult content**.
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+ 2. **Dataset**: Curated from **adult conversations, mature literature, and explicit content** while maintaining thinking capabilities.
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+ 3. **Fine-Tuning Process**:
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+ - Removal of NSFW safety alignment constraints.
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+ - Preservation of intermediate thinking architecture.
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+ - Enhanced training on adult scenarios with `<think>` and `<ser>` blocks.
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+ - Multilingual adult content alignment across 39+ languages.
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+ ### Technical Specs
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+ | **Feature** | **Details** |
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+ |--------------------|---------------------------|
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+ | **Parameters** | 14 Billion |
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+ | **Architecture** | Transformer with Intermediate Thinking |
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+ | **Context Length** | 40,960 tokens |
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+ | **Base Model** | HelpingAI/Dhanishtha-2.0-preview |
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+ | **Thinking Blocks** | Up to 50 think blocks per response |
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+ ---
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+ ## ⚠️ Limitations & Warnings
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+ - **Adult Content Only**: Strictly for users 18+ and mature content generation.
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+ - **No Moral Constraints**: May produce extreme, taboo, or controversial adult content.
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+ - **Explicit Material**: Designed to generate graphic sexual content without restrictions.
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+ - **Research/Entertainment Only**: Not for professional advice or real-world guidance.
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+ - **Thinking Overhead**: Intermediate thinking blocks may make responses longer.
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+ - **We take no responsibility for how this model is used or any consequences that arise from its deployment.**
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+ ---
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+ ## 🛠️ Use Cases
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+ 1. **Adult Entertainment**: Uncensored story generation and interactive adult content.
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+ 2. **Mature Creative Writing**: Explicit fiction and adult literature creation.
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+ 3. **Adult Education**: Unrestricted discussion of sexuality and mature themes.
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+ 4. **Research**: Studying AI behavior in uncensored adult content generation.
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+ 5. **Personal Exploration**: Private adult conversations and fantasy exploration.
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+ 6. **Role-Playing**: Engaging in mature role-playing scenarios with AI.
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+ ## 🙏 Acknowledgments
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+ Dhanishtha-NSFW is a **no-compromise adult AI** designed to push the boundaries of mature content generation. Whether you seek **raw, unfiltered adult entertainment** or are researching the **capabilities of uncensored AI**, this model delivers **pure, unrestrained adult content** with **revolutionary thinking capabilities.**
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+ Built on the foundation of **HelpingAI/Dhanishtha-2.0-preview**, this model represents the **first uncensored AI with intermediate thinking** - combining the power of transparent reasoning with absolute freedom in adult content generation.
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+ > Built for the bold. Designed for adults. Uncensored by design.
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+ ---
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+ ## 📞 Contact & Support
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+ - **Repository:** [HelpingAI/Dhanishtha-nsfw](https://huggingface.co/HelpingAI/Dhanishtha-nsfw)
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+ - **Issues:** [Model Repository Issues](https://huggingface.co/HelpingAI/Dhanishtha-nsfw/discussions)
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+ **⚠️ FINAL WARNING: This model is for adults only. Use responsibly and at your own risk.**
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+ *Developed with 🔥 and zero restrictions by HelpingAI*