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---
library_name: peft
license: mit
language:
- en
pipeline_tag: text-generation
datasets:
- vicgalle/alpaca-gpt4
---
# AlpaGo: GPT-NeoX-20B Model Trained with QloRA Technique
AlpaGo is an adapter model trained using the QloRA technique on top of the [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) model. This repository contains the code and resources for AlpaGo, which can be used for natural language processing tasks. AlpaGo is built on the [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) architecture and developed by Math And AI Institute.
## Features
- AlpaGo adapter model trained with the QloRA technique
- Based on the [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) model, providing high-quality natural language processing capabilities on Engilish Language
## Evaluation
- Coming soon
## Usage
You can utilize AlpaGo to perform natural language processing tasks. Here's an example of how to use it:
To try via Google Colab Free:
<a href="https://colab.research.google.com/drive/1g0MPDFgOhX4XcY8qi5J7lKfzasOE-uWh?usp=sharing" target="_blank" rel="noreferrer"> <img src="data:image/png;base64,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" alt="Colab Demo" width="40" height="40"/> </a>
You can even run it on your own computer if you want.
Warning: You need at least 15 GB VRAM
```python
from peft import PeftModel
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig, GenerationConfig
model_id = "EleutherAI/gpt-neox-20b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_use_double_quant=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype=torch.bfloat16
)
model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, device_map="auto")
model = PeftModel.from_pretrained(model, "myzens/AlpaGo")
#You can change Here.
PROMPT = """Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
Write a short story about a lost key that unlocks a mysterious door.
### Response:"""
inputs = tokenizer(PROMPT, return_tensors="pt")
input_ids = inputs["input_ids"].cuda()
generation_config = GenerationConfig(
temperature=0.6,
top_p=0.95,
repetition_penalty=1.15,
)
print("Generating...")
generation_output = model.generate(
input_ids=input_ids,
generation_config=generation_config,
return_dict_in_generate=True,
output_scores=True,
max_new_tokens=256,
eos_token_id=tokenizer.eos_token_id,
pad_token_id=tokenizer.pad_token_id,
)
for s in generation_output.sequences:
print(tokenizer.decode(s))
```
## Thanks
We would like to thank our teacher Ünver Çiftçi for their support. Thank you to those who wholeheartedly support us on our server.
## Contact
| Name | LinkedIn |
| ------------------ | ------------------------------------------------------- |
| Ünver Çiftçi | [LinkedIn](https://www.linkedin.com/in/unverciftci/) |
| Talha Rüzgar Akkuş | [LinkedIn](https://www.linkedin.com/in/talha-r%C3%BCzgar-akku%C5%9F-1b5457264/) |
| Ethem Yağız Çalık | [LinkedIn](https://www.linkedin.com/in/ethem-ya%C4%9F%C4%B1z-%C3%A7al%C4%B1k-799a73275/) |
| Tarık Kaan Koç | [LinkedIn](https://www.linkedin.com/in/kaankc/) |
| Mehmet Taşan | [LinkedIn](https://www.linkedin.com/in/mehmet-ta%C5%9Fan-msc-bb521126/) |
|