Update README.md

README.md

@@ -8,26 +8,26 @@ pipeline_tag: text-generation
 ---
 # Model card for aiplanet/effi-13b
 
-effic-13B parameters is a causal decoder-only model built by Aiplanet based on Llama-2-13b-chat-hf and fine tuned using the CoT dataset available in huggingface datasets.It is made available under the Apache 2.0 license.
+effi-13B parameters is a causal decoder-only model built by Aiplanet based on Llama-2-13b-chat-hf and fine tuned using the CoT dataset available in huggingface datasets.It is made available under the Apache 2.0 license.
 
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+This model card aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
 
-## Why use Falcon-40B-Instruct?
-- This is a ready to use chat/instruct model based on Llama-2-13b-chat-hf which provides a rationale for the context provided.
-- Llam-2 is the bset open source model available.
+## Why use effi-13B-Instruct?
+- This is a ready to use chat/instruct model based on Llama-2-13b-chat-hf, which provides a rationale for the context provided.
+- Llama-2 is the best open-source model available.
 This is an instruct model, which may not be ideal for further finetuning. If you are interested in building your own instruct/chat model, we recommend starting from **Llama-2-13b-chat-hf**
 
-You will need at least **85-100GB of memory to swiftly run inference with effi-17b**.
+You will need at least **85-100GB of memory to swiftly run inference with effi-13b**.
 
 ## Model Details
 
 ### Model Description
 
-This model has been fine tuned on Chain of Thought datsets  which has context from mixed sources with corresponding rationale. The final finetuned Large Language Model(LLM) have shown enhanced capabilities of solving novel tasks by providing a reasoning.
+This model has been fine tuned on Chain of Thought datasets  which has context from mixed sources with corresponding rationale. The final finetuned Large Language Model(LLM) have shown enhanced capabilities of solving novel tasks by providing a reasoning.
 
 
 
-- **Developed by:** AiPlanet
+- **Developed by:** AI Planet
 - **Model type:** Casual Decoder only
 - **Language(s) (NLP):** English
 - **License:** Apache 2.0
@@ -47,7 +47,7 @@ This model has been fine tuned on Chain of Thought datsets  which has context fr
 
 ### Direct Use
 
-effic-17b has been finetuned on a Chain of Thought dataset.
+effi-13b has been finetuned on a Chain of Thought dataset.
 
 ### Out-of-Scope Use
 
@@ -60,9 +60,9 @@ This model  has been majorly trained on English data, and will not generalize ap
 
 ### Recommendations
 
-We recommend users of effic-13b to develop guardrails and to take appropriate precautions for any production use.
+We recommend users of effi-13b to develop guardrails and take appropriate precautions for any production use.
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information is needed for further recommendations.
 
 ## How to Get Started with the Model
 
@@ -164,7 +164,7 @@ print(result[0]['generated_text'].strip().split("[/INST]")[-1])
 
 ### Training Data
 
-effic-13b has been finetuned on https://huggingface.co/datasets/kaist-ai/CoT-Collection
+effi-13b has been finetuned on https://huggingface.co/datasets/kaist-ai/CoT-Collection
 The data was tokenized with the **meta-llama/Llama-2-13b-chat-hf** tokenizer.
 
 
@@ -239,8 +239,8 @@ See the OpenLLM Leaderboard(https://huggingface.co/spaces/HuggingFaceH4/open_llm
 
 ## Citation
 
-@article{effic-13b,
-  title={{effic-13b}: an open large language model with state-of-the-art performance},
+@article{effi-13b,
+  title={{effi-13b}: an open large language model with state-of-the-art performance},
   author={aiplanet},
   year={2023}
 }