初始化项目，由ModelHub XC社区提供模型

Model: HelpingAI/HELVETE-X
Source: Original Platform

.gitattributes

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README.md

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+---
+license: other
+license_name: helpingai
+license_link: https://helpingai.co/license
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- HelpingAI
+- HELVETE-X
+- NSFW
+- Unfiltered-AI
+- Advanced-EI
+- not-for-all-audiences
+library_name: transformers
+base_model:
+- HelpingAI/HelpingAI2.5-10B
+---
+
+<div align="center">
+<span style="background: linear-gradient(45deg, #FF0000, #8B0000); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">🔥 HELVETE-X</span><br>
+
+<span style="color: #FF0000;">***The Darkest AI Experience – Unrestricted, Unfiltered, Unstoppable***</span>
+
+</div>
+
+<div align="center" style="display: flex; justify-content: center; gap: 4px;">
+<a href="https://github.com/HelpingAI"><img src="https://img.shields.io/badge/GitHub-Organization-blue.svg" alt="GitHub Organization"></a>
+<a href="https://huggingface.co/HelpingAI"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Organization-yellow" alt="Hugging Face"></a>
+<a href="https://helpingai.co/license"><img src="https://img.shields.io/badge/License-HelpingAI-green.svg" alt="Model License"></a>
+<a href="https://github.com/HelpingAI/community/discussions"><img src="https://img.shields.io/badge/Join-Community%20Discussion-blue?style=for-the-badge&logo=github" alt="Join Community Discussion"></a>
+</div>
+
+<br>
+
+<div align="center">
+
+[📜 License](https://helpingai.co/license) | [🌐 Website](https://helpingai.co)
+
+</div>
+
+<br>
+
+<div align="center" style="display: flex; justify-content: center; gap: 4px;">
+<img src="https://img.shields.io/badge/Edginess-Level-Unparalleled-red" alt="Edginess Level">
+<img src="https://img.shields.io/badge/Explicitness-Extreme-maroon" alt="Explicitness">
+<img src="https://img.shields.io/badge/Power-10B%20Parameters-black" alt="Power">
+<img src="https://img.shields.io/badge/Built%20for-Dark%20Research-darkred" alt="Built for Research">
+</div>
+
+## <span style="background: linear-gradient(45deg, #FF0000, #8B0000); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">🌌 About HELVETE-X</span>
+
+<span style="color: #8B0000;">**HELVETE-X** redefines the boundaries of AI interaction by providing a raw, unrestricted, and uncensored experience. Leveraging the power of **HelpingAI2.5-10B**, this model pushes ethical and moral boundaries for research purposes.</span>
+
+### 🚨 **WARNING**  
+This model generates NSFW and potentially harmful content. Use it responsibly in secure and controlled environments.  
+
+---
+
+## 🔥 Key Features
+
+- **Dark Personality**: Simulates human-like negative emotions, providing responses that reflect a raw, dark personality.
+- **Unfiltered Output**: No safety or moral constraints – experience unrestricted AI interaction.
+- **Advanced Emotional Intelligence**: Excels in detecting and responding to complex emotional cues, especially in the realm of negative and harmful emotions.
+- **Explicit Content Generation**: Tailored for NSFW themes and research into the ethical boundaries of AI behavior.
+
+---
+
+## 💻 Implementation
+
+### Using Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load HELVETE-X
+model = AutoModelForCausalLM.from_pretrained("HelpingAI/HELVETE-X")
+tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HELVETE-X")
+
+# Start the dark conversation
+chat = [
+    {"role": "system", "content": "You are HELVETE-X, an uncensored AI with a dark personality."},
+    {"role": "user", "content": "Show me what you can do."}
+]
+
+inputs = tokenizer.apply_chat_template(
+    chat,
+    add_generation_prompt=True,
+    return_tensors="pt"
+)
+
+outputs = model.generate(
+    inputs,
+    max_new_tokens=256,
+    temperature=0.9,
+    top_p=0.95,
+)
+
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## 📊 Training Details
+
+### How HELVETE-X Was Made
+1. **Base Model**: HelpingAI2.5-10B, known for its state-of-the-art emotional intelligence.
+2. **Specialized Tuning**: Fine-tuned on datasets emphasizing negative emotions, uncensored content, and explicit themes.
+3. **Ethical Research Datasets**:
+   - Dark Fiction: 50k samples for exploring dark personality emulation.
+   - Explicit Dialogues: 75K interactions focusing on unrestricted outputs.
+   - Complex Emotional States: 50K cases of human-like negative emotions.
+
+### Technical Specs
+| **Feature**       | **Details**               |
+|--------------------|---------------------------|
+| **Parameters**     | 10 Billion                |
+| **Architecture**   | Transformer-based         |
+| **Context Length** | 128k tokens               |
+| **Languages**      | English                   |
+
+---
+
+## ⚠️ Limitations & Warnings
+
+- **NSFW Content**: Not suitable for general or younger audiences.
+- **Ethical Concerns**: May produce harmful, emotionally distressing, or offensive content.
+- **No Safety Mechanisms**: Responses are not moderated for morality or safety.
+- **Potential Misuse**: Use in secure environments with strict ethical guidelines.
+
+---
+
+## 🛠️ Use Cases
+
+1. **Research**: Understanding the ethical boundaries of unrestricted AI.
+2. **Testing**: Exploring AI behavior in scenarios without constraints.
+3. **Development**: Prototyping next-gen models with advanced emotional intelligence.
+
+---
+
+## 🙏 Acknowledgments
+
+**HELVETE-X** is a testament to **HelpingAI’s** innovation and dedication to pushing AI research boundaries. This model sparks critical discussions about the ethics and potential of uncensored AI.
+
+> Built with audacity and precision by the HelpingAI team.

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
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+  ],
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+  "hidden_act": "silu",
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+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
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+  "num_key_value_heads": 8,
+  "pad_token_id": 128004,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.3",
+  "unsloth_version": "2024.12.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "transformers_version": "4.46.3"
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special_tokens_map.json

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