Update README.md

README.md

@@ -14,65 +14,49 @@ tags:
 - transformers.js
 widget:
 - text: >-
-    Teapot is an open-source small language model (~800 million parameters)
-    fine-tuned on synthetic data and optimized to run locally on
-    resource-constrained devices such as smartphones and CPUs. Teapot is trained
-    to only answer using context from documents, reducing hallucinations. Teapot
-    can perform a variety of tasks, including hallucination-resistant Question
-    Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
-    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data
-    generated by Deepseek v3 TeapotLLM can be hosted on low-power devices with
-    as little as 2GB of CPU RAM such as a Raspberry Pi. Teapot is a model built
-    by and for the community.
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
 
 
     What devices can teapot run on?
   example_title: Question Answering
 - text: >-
-    Teapot is an open-source small language model (~800 million parameters)
-    fine-tuned on synthetic data and optimized to run locally on
-    resource-constrained devices such as smartphones and CPUs. Teapot is trained
-    to only answer using context from documents, reducing hallucinations. Teapot
-    can perform a variety of tasks, including hallucination-resistant Question
-    Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
-    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data
-    generated by Deepseek v3 TeapotLLM can be hosted on low-power devices with
-    as little as 2GB of CPU RAM such as a Raspberry Pi. Teapot is a model built
-    by and for the community.
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
 
 
     Tell me about teapotllm 
   example_title: Summarization Answering
 - text: >-
-    Teapot is an open-source small language model (~800 million parameters)
-    fine-tuned on synthetic data and optimized to run locally on
-    resource-constrained devices such as smartphones and CPUs. Teapot is trained
-    to only answer using context from documents, reducing hallucinations. Teapot
-    can perform a variety of tasks, including hallucination-resistant Question
-    Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
-    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data
-    generated by Deepseek v3 TeapotLLM can be hosted on low-power devices with
-    as little as 2GB of CPU RAM such as a Raspberry Pi. Teapot is a model built
-    by and for the community.
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
 
 
     Extract the number of parameters
   example_title: Information Extraction
 - text: >-
-    Teapot is an open-source small language model (~800 million parameters)
-    fine-tuned on synthetic data and optimized to run locally on
-    resource-constrained devices such as smartphones and CPUs. Teapot is trained
-    to only answer using context from documents, reducing hallucinations. Teapot
-    can perform a variety of tasks, including hallucination-resistant Question
-    Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
-    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data
-    generated by Deepseek v3 TeapotLLM can be hosted on low-power devices with
-    as little as 2GB of CPU RAM such as a Raspberry Pi. Teapot is a model built
-    by and for the community.
+    Teapot is an open-source small language model (~800 million parameters) fine-tuned on synthetic data and optimized to run locally on resource-constrained devices such as smartphones and CPUs.
+    Teapot is trained to only answer using context from documents, reducing hallucinations.
+    Teapot can perform a variety of tasks, including hallucination-resistant Question Answering (QnA), Retrieval-Augmented Generation (RAG), and JSON extraction.
+    TeapotLLM is a fine tune of flan-t5-large that was trained on synthetic data generated by Deepseek v3
+    TeapotLLM can be hosted on low-power devices with as little as 2GB of CPU RAM such as a Raspberry Pi.
+    Teapot is a model built by and for the community.
 
 
     How many parameters is Deepseek? 
-  example_title: Hallucination Resistance
+  example_title: Hallucination Resistance 
 base_model:
 - google/flan-t5-large
 pipeline_tag: text2text-generation