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Update README.md

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@@ -51,7 +51,7 @@ Here is how to load and use the model in your Python projects:
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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- model_name = "taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-131k"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
@@ -86,9 +86,9 @@ and much more
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  Notice
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  --------
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  Please exercise caution and use it at your own risk. I assume no responsibility for any losses incurred if used.
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-
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  Licensing
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  ---------
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@@ -103,12 +103,12 @@ If you use this model in your research, please cite it as follows:
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  ```bibtex
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  @misc{
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- finbro_v0.1.0-llama-3-8B-131k,
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  author = {Taddeus Buica},
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- title = {Fibro Llama 3 8B Model for Financial Analysis},
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  year = {2024},
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  journal = {Hugging Face repository},
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- howpublished = {\url{https://huggingface.co/taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-131k}}
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  }
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  ```
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@@ -124,6 +124,8 @@ References
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  [[1](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)] Llama 3 Model Card by AI@Meta, Year: 2024
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- [[2](https://huggingface.co/datasets/sujet-ai/Sujet-Finance-Instruct-177k)] Sujet Finance Dataset
 
 
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- [[3](https://huggingface.co/datasets/FinLang/investopedia-instruction-tuning-dataset)] Dataset Card for investopedia-instruction-tuning
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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+ model_name = "taddeusb90/finbro-v0.1.0-dolphin-2.9-llama-3-8B-instruct-131k"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
 
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  Notice
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  --------
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+ You are advised to implement your own alignment layer and guard rails before exposing the model as a service or using it in production. It will be highly compliant with any requests, even unethical ones. Please read Eric Hartford's blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model.
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  Please exercise caution and use it at your own risk. I assume no responsibility for any losses incurred if used.
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  Licensing
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  ---------
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  ```bibtex
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  @misc{
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+ finbro-v0.1.0-dolphin-2.9-llama-3-8B-instruct-131k,
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  author = {Taddeus Buica},
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+ title = {Fibro Dolphin 2.9 Llama 3 8B Model for Financial Analysis},
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  year = {2024},
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  journal = {Hugging Face repository},
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+ howpublished = {\url{https://huggingface.co/taddeusb90/finbro-v0.1.0-dolphin-2.9-llama-3-8B-instruct-131k}}
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  }
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  ```
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  [[1](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)] Llama 3 Model Card by AI@Meta, Year: 2024
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+ [[2](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)] Dolphin 2.9 by Cognitive Computations, Year 2024
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+
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+ [[3](https://huggingface.co/datasets/sujet-ai/Sujet-Finance-Instruct-177k)] Sujet Finance Dataset
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+ [[4](https://huggingface.co/datasets/FinLang/investopedia-instruction-tuning-dataset)] Dataset Card for investopedia-instruction-tuning