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Model: HelpingAI/Helpingai3-raw 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://helpingai.co/license
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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
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- Conversational
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- SLM
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library_name: transformers
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---
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# HelpingAI3
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## Model Description
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**HelpingAI3** is an advanced language model developed to excel in emotionally intelligent conversations. Building upon the foundations of HelpingAI2.5, this model offers enhanced emotional understanding and contextual awareness.
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## Model Details
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- **Developed by**: HelpingAI
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- **Model type**: Decoder-only large language model
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- **Language**: English
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- **License**: [HelpingAI License](https://helpingai.co/license)
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## Training Data
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HelpingAI3 was trained on a diverse dataset comprising:
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- **Emotional Dialogues**: 15 million rows to enhance conversational intelligence.
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- **Therapeutic Exchanges**: 3 million rows aimed at providing advanced emotional support.
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- **Cultural Conversations**: 250,000 rows to improve global awareness.
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- **Crisis Response Scenarios**: 1 million rows to better handle emergency situations.
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## Training Procedure
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The model underwent the following training processes:
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- **Base Model**: Initiated from HelpingAI2.5.
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- **Emotional Intelligence Training**: Employed Reinforcement Learning for Emotion Understanding (RLEU) and context-aware conversational fine-tuning.
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- **Optimization**: Utilized mixed-precision training and advanced token efficiency techniques.
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## Intended Use
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HelpingAI3 is designed for:
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- **AI Companionship & Emotional Support**: Offering empathetic interactions.
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- **Therapy & Wellbeing Guidance**: Assisting in mental health support.
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- **Personalized Learning**: Tailoring educational content to individual needs.
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- **Professional AI Assistance**: Enhancing productivity in professional settings.
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## Limitations
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While HelpingAI3 strives for high emotional intelligence, users should be aware of potential limitations:
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- **Biases**: The model may inadvertently reflect biases present in the training data.
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- **Understanding Complex Emotions**: There might be challenges in accurately interpreting nuanced human emotions.
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- **Not a Substitute for Professional Help**: For serious emotional or psychological issues, consulting a qualified professional is recommended.
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## How to Use
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### Using 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 HelpingAI3 model
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model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI3-RAW")
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# Load the tokenizer
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tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI3-RAW")
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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": "Introduce yourself."}
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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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```
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config.json
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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": 23040,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 12,
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"num_hidden_layers": 40,
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"pad_token_id": 2023,
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"torch_dtype": "float16",
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"transformers_version": "4.49.0",
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"use_cache": false,
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"vocab_size": 131072
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}
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4
special_tokens_map.json
Normal file
4
special_tokens_map.json
Normal file
@@ -0,0 +1,4 @@
|
||||
{
|
||||
"eos_token": "<|im_end|>",
|
||||
"pad_token": "<|pad|>"
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
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oid sha256:ced5eed96c01de81e9f37dc66d340644118bdece44ef773a217a6345506b0f6e
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size 9780748
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16205
tokenizer_config.json
Normal file
16205
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user