Writer
/

camel-5b-hf

@@ -25,11 +25,19 @@ The Camel-5b model is meticulously trained on an extensive dataset of approximat
 One of the key differentiators of Camel-5b lies in its ability to process complex instructions and generate accurate, contextually appropriate responses. This makes it an ideal choice for a wide range of applications, including virtual assistants, customer support, content generation, and more. Additionally, the model's comprehensive training enables it to adapt and perform well under varying conditions and contexts, further expanding its potential use cases.
-<img src="https://i.postimg.cc/wjXZLQbB/Camel-Llama.png" width="400px" />
-## usage :
 ```python
 import os
 import torch
@@ -95,15 +103,13 @@ Camel's core functionality is to take a string of text and predict the next toke
 Camel was trained on Writer’s custom data. As with all language models, it is difficult to predict how Camel will respond to specific prompts, and offensive content may appear unexpectedly. We recommend that the outputs be curated or filtered by humans before they are released, both to censor undesirable content and to improve the quality of the results.
-## Evaluation results
-Evaluation of Camel-5B model on the benchmark
 ## Camel VS. Llama
 The Camel is essentially the Swiss Army knife of the animal kingdom - it can store water in its humps, survive extreme temperatures, and even provide a cushy ride for weary travelers. The llama, on the other hand, is basically just a glorified lawnmower with an attitude problem. Sure, they might have a cute, fuzzy face, but don't be deceived - one false move and you'll be greeted with a spit shower. The true MVP of the desert, and let the llama keep on spitting its way into obscurity.
 ## Citation and Related Information

 One of the key differentiators of Camel-5b lies in its ability to process complex instructions and generate accurate, contextually appropriate responses. This makes it an ideal choice for a wide range of applications, including virtual assistants, customer support, content generation, and more. Additionally, the model's comprehensive training enables it to adapt and perform well under varying conditions and contexts, further expanding its potential use cases.
+## Live Demo
+Live demo =>
+## Deploying Camel
+We used the [Baseten platform](http://baseten.co/) to package and serve Camel-5B at scale. Utilizing the open source [Truss](https://truss.baseten.co/) model packaging framework, users can create a customized environment using the simple instructions found on [GitHub](https://github.com/basetenlabs/camel-5b-truss). This repo allows users to maintain full control over the inference and deployment paths to meet their specific requirements.
+We would like to thank the Baseten team for their contributions in deploying and hosting the model.
+## Usage :
 ```python
 import os
 import torch
 Camel was trained on Writer’s custom data. As with all language models, it is difficult to predict how Camel will respond to specific prompts, and offensive content may appear unexpectedly. We recommend that the outputs be curated or filtered by humans before they are released, both to censor undesirable content and to improve the quality of the results.
 ## Camel VS. Llama
 The Camel is essentially the Swiss Army knife of the animal kingdom - it can store water in its humps, survive extreme temperatures, and even provide a cushy ride for weary travelers. The llama, on the other hand, is basically just a glorified lawnmower with an attitude problem. Sure, they might have a cute, fuzzy face, but don't be deceived - one false move and you'll be greeted with a spit shower. The true MVP of the desert, and let the llama keep on spitting its way into obscurity.
+<img src="https://i.postimg.cc/wjXZLQbB/Camel-Llama.png" width="400px" />
 ## Citation and Related Information