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Update README.md
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README.md
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library_name: transformers
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license: llama2
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---
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- en
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library_name: transformers
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license: llama2
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datasets:
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- pankajmathur/orca_mini_v1_dataset
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- pankajmathur/dolly-v2_orca
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- pankajmathur/WizardLM_Orca
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- pankajmathur/alpaca_orca
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- ehartford/dolphin
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---
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# model_009
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A Llama2-70b model trained on Orca Style datasets.
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**P.S. If you're interested to collaborate, please connect with me at www.linkedin.com/in/pankajam**
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## Evaluation
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We evaluated model_009 on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI.
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Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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|||||
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|:------:|:--------:|:-------:|:--------:|
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|**Task**|**Metric**|**Value**|**Stderr**|
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|*arc_challenge*|acc_norm|0.6843|0.0141|
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|*hellaswag*|acc_norm|0.8671|0.0038|
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|*mmlu*|acc_norm|0.6931|0.0351|
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|*truthfulqa_mc*|mc2|0.5718|0.0157|
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|**Total Average**|-|**0.7041**||
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## Example Usage
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Here is the prompt format
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```
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### System:
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You are an AI assistant that follows instruction extremely well. Help as much as you can.
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### User:
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Tell me about Orcas.
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### Assistant:
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```
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Below shows a code example on how to use this model
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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tokenizer = AutoTokenizer.from_pretrained("pankajmathur/model_009")
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model = AutoModelForCausalLM.from_pretrained(
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"pankajmathur/model_009",
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torch_dtype=torch.float16,
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load_in_8bit=True,
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low_cpu_mem_usage=True,
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device_map="auto"
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)
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system_prompt = "### System:\nYou are an AI assistant that follows instruction extremely well. Help as much as you can.\n\n"
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#generate text steps
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instruction = "Tell me about Orcas."
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prompt = f"{system_prompt}### User: {instruction}\n\n### Assistant:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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output = model.generate(**inputs, do_sample=True, top_p=0.95, top_k=0, max_new_tokens=4096)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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#### Limitations & Biases:
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While this model aims for accuracy, it can occasionally produce inaccurate or misleading results.
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Despite diligent efforts in refining the pretraining data, there remains a possibility for the generation of inappropriate, biased, or offensive content.
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Exercise caution and cross-check information when necessary.
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### Citiation:
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Please kindly cite using the following BibTeX:
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```
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@misc{model_009,
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author = {Pankaj Mathur},
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title = {model_009: An Orca Style Llama2-70b model},
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month = {august},
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://https://huggingface.co/pankajmathur/model_009},
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}
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```
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```
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@misc{mukherjee2023orca,
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title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4},
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author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah},
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year={2023},
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eprint={2306.02707},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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```
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@software{touvron2023llama2,
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title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
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author={Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava,
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Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller,
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Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez Madian Khabsa, Isabel Kloumann,
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Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov,
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Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith,
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Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu , Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan,
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Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom},
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year={2023}
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}
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```
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