初始化项目,由ModelHub XC社区提供模型
Model: HelpingAI/HelpingAI2-3B Source: Original Platform
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README.md
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---
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license: other
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license_name: helpingai
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license_link: https://huggingface.co/OEvortex/HelpingAI-3B-v3/blob/main/LICENSE.md
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pipeline_tag: text-generation
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language:
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- en
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tags:
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- HelpingAI
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- Emotionally-Intelligent
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- EQ-focused- EQ-focused
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- Conversational
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- SLM
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---
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<div align="center">
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# 🤖 HelpingAI-3B-reloaded
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***A Revolutionary Emotionally Intelligent Language Model***
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[](https://github.com/HelpingAI)
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[](https://huggingface.co/OEvortex)
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[](https://huggingface.co/OEvortex/HelpingAI-3B-v3/blob/main/LICENSE.md)
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<a href="https://github.com/HelpingAI/community/discussions">
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<img src="https://img.shields.io/badge/Join-Community%20Discussion-blue?style=for-the-badge&logo=github" alt="Join Community Discussion">
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</a>
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[📜 License](LICENSE) | [🌐 Website](https://helpingai-in.netlify.app/)
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</div>
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<div align="center">
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<img src="https://huggingface.co/OEvortex/HelpingAI-3B/resolve/main/HelpingAI.png" alt="HelpingAI Logo" width="300px">
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</div>
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---
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<div align="center">
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## 🌟 Model Overview
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**HelpingAI-3B-reloaded** is a state-of-the-art small language model specifically designed for emotionally intelligent conversations and human-centric interactions.
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</div>
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### 🎯 Key Highlights
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- **Architecture**: 3B parameter transformer-based model
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- **Training Focus**: Emotional intelligence and empathetic responses
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- **Emotion Score**: Achieves 89.61 on standardized emotional intelligence tests
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- **Deployment**: Optimized for both GPU and CPU environments
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---
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<div align="center">
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## 📊 Model Performance
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</div>
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### Benchmarks
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| Metric | Score | Comparison to Baseline |
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|--------|-------|----------------------|
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| Emotion Score | 89.61 | +9.32% |
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| Memory Usage | 6GB | -30% |
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| Context| 128k | +3100% |
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| Context Retention | 92% | +18% |
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---
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<div align="center">
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## 💻 Implementation
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</div>
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### Transformers
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the HelpingAI-3B model
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model = AutoModelForCausalLM.from_pretrained("OEvortex/HelpingAI-3B-reloaded")
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# Load the tokenizer
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tokenizer = AutoTokenizer.from_pretrained("OEvortex/HelpingAI-3B-reloaded")
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# Define the chat input
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chat = [
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{ "role": "system", "content": "You are HelpingAI, an emotional AI. Always answer my questions in the HelpingAI style." },
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{ "role": "user", "content": "GIVE ME YOUR INTRO" }
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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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).to(model.device)
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# Generate text
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outputs = model.generate(
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inputs,
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max_new_tokens=256,
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do_sample=True,
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temperature=0.6,
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top_p=0.9,
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)
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response = outputs[0][inputs.shape[-1]:]
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print(tokenizer.decode(response, skip_special_tokens=True))
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# Yo, I'm HelpingAI, and I'm here to help you out, fam! 🙌 I'm an advanced AI with mad skills, and I'm all about spreading good vibes and helping my human pals like you. 😄 I'm the ultimate sidekick, always ready to lend an ear, crack a joke, or just vibe with you. 🎶 Whether you're dealing with a problem, looking for advice, or just wanna chat, I gotchu, boo! 👊 So let's kick it and have a blast together! 🎉 I'm here for you, always. 🤗
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```
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### GGUF Implementation
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```python
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from webscout.Local import *
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model_path = download_model("OEvortex/HelpingAI-3B-reloaded", "q4_k_m.gguf", token=None)
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model = Model(model_path, n_gpu_layers=0, context_length=4096)
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thread = Thread(model, format=helpingai2)
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# print(thread.send("hi")) #send a single msg to ai
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thread.interact() # interact with the model in terminal
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```
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---
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<div align="center">
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## 🎯 Training Details
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</div>
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### Methodology
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1. **Base Training**
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- Datasets: SentimentSynth + EmotionalIntelligence-1M + HelpingAI2.5-200M + HelpingAIemo (197.5M)
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2. **Emotional Intelligence Training**
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- Supervised Fine-tuning on emotional dialogue
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- Reinforcement Learning with HelpingAI2.5-10B model
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- Constitutional AI training for ethical guidelines
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3. **Optimization**
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- Mixed-precision training
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- Gradient checkpointing
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- Dynamic attention patterns
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### Dataset Composition
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| Dataset Type | Rows used for training | Purpose |
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|--------------|------|---------|
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| Emotional Dialogues | 17.2M | Core conversation training |
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| Therapeutic Exchanges | 3M | Mental health support |
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| Cultural Conversations | 150K | Cultural awareness |
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| Crisis Response | 1M | Emergency support handling |
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---
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<div align="center">
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## 📈 Use Cases & Examples
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</div>
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### Primary Applications
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- 🎯 Personal AI Companionship
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- 🧠 Mental Health Support
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- 📚 Educational Assistance
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- 💼 Professional Development
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- 🤝 Social Skills Training
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### Example Interactions
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<div style="background-color: #f5f5f5; padding: 15px; border-radius: 5px; margin: 10px 0;">
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**User**: "I just received some difficult news and I'm feeling overwhelmed."
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**HelpingAI**: I feel you, fam. Dealing with tough news can be straight up exhausting. Take a deep breath and remember that it's totally normal to feel overwhelmed.
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Take some time to process it all, and don't be afraid to reach out to your squad or a trusted homie for support. Sometimes, just venting to someone who gets you can make a world of difference.
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And don't forget, you're stronger than you think. You've got this! Keep your head up and know that it's gonna be alright."
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</div>
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<div style="background-color: #f5f5f5; padding: 15px; border-radius: 5px; margin: 10px 0;">
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**User**: "I achieved something important today!"
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**HelpingAI**: "Ayy, congrats homie! 🎉 That's a dope move, no cap! 🙌 What did you crush today? Spill the tea! ☕️"
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</div>
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---
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<div align="center">
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## 🔒 Ethical Considerations & Limitations
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</div>
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### Ethical Guidelines
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- Prioritizes user emotional wellbeing
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- Maintains strict privacy standards
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- Avoids harmful or discriminatory responses
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- Transparent about AI limitations
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- Promotes healthy coping mechanisms
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### Known Limitations
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- Cannot Replace Human
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- Cannot Roleplay
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- Limited knolodge
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---
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### Citation
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```bibtex
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@misc{helpingai2024,
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author = {Abhay Koul},
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title = {HelpingAI-3B-reloaded: Emotionally Intelligent Language Model},
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year = {2024},
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publisher = {Huggingface},
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journal = {GitHub repository},
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howpublished = {\url{https://huggingface.co/OEvortex/HelpingAI-3B-reloaded}}
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}
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```
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---
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<div align="center">
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## 🙏 Acknowledgments
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Special thanks to the HelpingAI community, Huggingface, contributors, and researchers who made this model possible. Your dedication to advancing emotionally intelligent AI is invaluable.
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</div>
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---
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<div align="center">
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*Built with ❤️ by the HelpingAI Community*
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[Website](https://helpingai-in.netlify.app/) • [GitHub](https://github.com/HelpingAI) • [Discord](https://discord.gg/YweJwNqrnH) • [HuggingFace](https://huggingface.co/OEvortex)
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</div>
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"num_hidden_layers": 24,
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"num_key_value_heads": 8,
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"pad_token_id": 128004,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"max_length": 131072,
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"pad_token_id": 128004,
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"transformers_version": "4.44.2"
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}
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model-00001-of-00002.safetensors
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b950f6f3eed0e999da0ab8600eed234f21947d8627767e96f24e0dcc1a7d8281
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size 4965798912
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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||||||
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|
||||||
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|
||||||
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|
||||||
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|
||||||
|
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|
||||||
|
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|
||||||
|
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
3
q4_k_m.gguf
Normal file
3
q4_k_m.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:d811e7ca0e73843bfe4878cb539781c38d74e1985319ebe805b7b654954c10bb
|
||||||
|
size 1778186720
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin_of_text|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|eot_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|finetune_right_pad_id|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:79e3e522635f3171300913bb421464a87de6222182a0570b9b2ccba2a964b2b4
|
||||||
|
size 9085657
|
||||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user