Add pipeline tag, license, paper link and Github link

README.md

@@ -1,13 +1,15 @@
 ---
 library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
 tags: []
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
-
+This is the Sky-T1-32B-Preview model, as described in [LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!](https://hf.co/papers/2502.07374). The code is available at [https://github.com/NovaSky-AI/SkyThought](https://github.com/NovaSky-AI/SkyThought).
 
+<!-- Provide a quick summary of what the model is/does. -->
 
 ## Model Details
 
@@ -17,20 +19,20 @@ 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]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** NovaSky AI
+- **Funded by [optional]:** Berkeley Sky Computing Lab, Lambda Labs, Anyscale, and Databricks
+- **Shared by [optional]:** NovaSky AI
+- **Model type:** Qwen2ForCausalLM
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Finetuned from model [optional]:** Qwen2
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
+- **Repository:** [https://github.com/NovaSky-AI/SkyThought](https://github.com/NovaSky-AI/SkyThought)
+- **Paper [optional]:** [LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!](https://hf.co/papers/2502.07374)
 - **Demo [optional]:** [More Information Needed]
 
 ## Uses
@@ -41,19 +43,19 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
+This model is intended for research purposes, specifically for exploring long chain-of-thought reasoning in large language models. It can be used for math and coding benchmarks.
 
 ### Downstream Use [optional]
 
 <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
 
-[More Information Needed]
+This model can be fine-tuned for specific reasoning tasks or integrated into larger applications that require complex reasoning capabilities.
 
 ### Out-of-Scope Use
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
-[More Information Needed]
+This model should not be used for generating malicious content or for tasks that could cause harm.
 
 ## Bias, Risks, and Limitations
 
@@ -79,7 +81,7 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-[More Information Needed]
+Trained with 17k long CoT training samples, the Qwen2.5-32B-Instruct model achieves significant improvements on a wide range of math and coding benchmarks
 
 ### Training Procedure
 
@@ -89,7 +91,6 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-
 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
@@ -130,8 +131,6 @@ Use the code below to get started with the model.
 
 #### Summary
 
-
-
 ## Model Examination [optional]
 
 <!-- Relevant interpretability work for the model goes here -->