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Model: voidful/qd-phi-1_5 Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: mit
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datasets:
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- corbyrosset/researchy_questions
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---
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## Model Summary
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The language model Phi-1.5 is a Transformer with **1.3 billion** parameters. It was trained using the same data sources as [phi-1](https://huggingface.co/microsoft/phi-1), augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common sense, language understanding, and logical reasoning, Phi-1.5 demonstrates a nearly state-of-the-art performance among models with less than 10 billion parameters.
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We've trained Microsoft Research's phi-1.5, 1.3B parameter model with question decomposition datasets.
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## How to Use
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Phi-1.5 has been integrated in the `transformers` version 4.37.0. If you are using a lower version, ensure that you are doing the following:
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* When loading the model, ensure that `trust_remote_code=True` is passed as an argument of the `from_pretrained()` function.
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The current `transformers` version can be verified with: `pip list | grep transformers`.
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## Example
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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torch.set_default_device("cuda")
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model = AutoModelForCausalLM.from_pretrained("voidful/qd-phi-1_5",trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("voidful/qd-phi-1_5", trust_remote_code=True,device_map="auto")
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inputs = tokenizer("Is it better to love or to be loved?", return_tensors="pt", return_attention_mask=True)
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outputs = model.generate(**inputs, max_length=1024)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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## Result
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*Question* Is it better to love or to be loved?
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*Decomposition*
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```json
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{
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"What does it mean to love?": [
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"How do different philosophical, psychological, and cultural perspectives define love?",
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"What are the characteristics and types of love?",
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"How does love affect human behavior and well-being?"
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],
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"What does it mean to be loved?": [
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"How do different philosophical, psychological, and cultural perspectives define being loved?",
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"What are the characteristics and types of being loved?",
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"How does being loved affect human behavior and well-being?"
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],
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"What are the benefits and drawbacks of loving oneself?": [
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"How does loving oneself relate to self-esteem, self-acceptance, and self-care?",
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"How does loving oneself affect one's relationships with others?",
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"What are the challenges and risks of loving oneself?"
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],
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"What are the benefits and drawbacks of being loved by others?": [
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"How does being loved by others relate to social connection, belonging, and support?",
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"How does being loved by others affect one's identity, autonomy, and agency?",
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"What are the challenges and risks of being loved by others?"
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],
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"How do the concepts of loving and being loved interact and influence each other?": [
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"How do different situations and contexts affect the dynamics of love and being loved?",
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"How do different individuals and groups experience and express love and being loved differently?",
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"How do love and being loved shape and change over time?"
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],
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"How can one balance and integrate love and being loved in one's life?": [
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"What are some strategies and practices to cultivate and sustain love and being loved?",
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"What are some examples and models of healthy and unhealthy relationships with love and being loved?",
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"What are some goals and values that guide one's choices and actions regarding love and being loved?"
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]
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}
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```
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*Queries*
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```
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definition and types of love
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definition and types of being loved
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benefits and drawbacks of loving oneself
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benefits and drawbacks of being loved by others
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interaction and influence of love and being loved
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strategies and practices to balance and integrate love and being loved
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examples and models of healthy and unhealthy relationships with love and being loved
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goals and values regarding love and being loved
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```
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config.json
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"_name_or_path": "voidful/phi-1_5_base",
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"architectures": [
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"PhiForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "microsoft/phi-1_5--configuration_phi.PhiConfig",
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"AutoModelForCausalLM": "microsoft/phi-1_5--modeling_phi.PhiForCausalLM"
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"num_attention_heads": 32,
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"vocab_size": 80980
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}
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1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user