Update README.md

README.md

@@ -1,11 +1,19 @@
 ---
 library_name: transformers
-tags: []
+tags:
+- llm
+- llama3
+- rare disease
+license: openrail
+language:
+- en
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+ ReidLM is a fine-tuned version of Meta's LLaMA 3 model, specifically optimized for generating high-quality, contextually accurate responses in the domain of rare diseases. 
+ Utilizing the Evol-Instruct methodology, this model was fine-tuned with dataset of over 400 rare diseases.
 
 
 
@@ -17,49 +25,30 @@ tags: []
 
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Developed by:** MSRIT 
+- **Model type:** Transformer-based Large Language Model (LLM)
+- **Language(s) (NLP):** English
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** Meta-Llama-3-8B-Instruct
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
+ReidLM is designed for direct use in generating insightful and reliable information to support healthcare professionals and researchers in diagnosing and managing rare diseases. It can be used as an educational tool for training medical students and professionals about rare diseases.
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+### Out-of-Scope Use
 
-[More Information Needed]
+ReidLM is specifically designed for generating information related to rare diseases and should not be used for the following purposes:
 
-### Out-of-Scope Use
+  -Non-Medical Domains: ReidLM is optimized for rare disease information and may not perform well in other domains such as finance, law, general health conditions, or any other non-medical fields.
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+  -General Conversational AI: While capable of generating detailed information on rare diseases, ReidLM may not be suitable for general conversational AI tasks that require a broad understanding of various topics.
 
-[More Information Needed]
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+ReidLM, like all large language models, has inherent biases and limitations that users should be aware of:
+    -Ethical Concerns: There is a risk of over-reliance on AI for medical decisions, which should always be validated by healthcare professionals.
+    -Accuracy: While the model strives for accuracy, it may generate incorrect or incomplete information, especially in highly specialized or novel cases.
 
 ### Recommendations
 
@@ -85,9 +74,6 @@ Use the code below to get started with the model.
 
 <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
 
-#### Preprocessing [optional]
-
-[More Information Needed]
 
 
 #### Training Hyperparameters