Add pipeline tag and GitHub link

README.md

@@ -1,20 +1,22 @@
 ---
-thumbnail: https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/e41oJOWxEvrZYiXstfEH_.png
+library_name: transformers
 license: other
 license_name: tongyi-qianwen
-library_name: transformers
+thumbnail: https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/e41oJOWxEvcZYiXstfEH_.png
+pipeline_tag: text-generation
 ---
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/e41oJOWxEvrZYiXstfEH_.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/e41oJOWxEvcZYiXstfEH_.png)
 
 - Try out the model on [![Featherless](https://img.shields.io/badge/featherless--ai%2FQRWKV--72B-Dummy?style=flat&label=Featherless&color=facc15)](https://featherless.ai/models/featherless-ai/QRWKV-72B)
 - Model details from our blog post here! [![Substack](https://img.shields.io/badge/Substack-Dummy?style=flat&color=facc15)](https://substack.recursal.ai/p/qwerky-72b-and-32b-training-large)
 - This model was presented in [RADLADS: Rapid Attention Distillation to Linear Attention Decoders at Scale](https://huggingface.co/papers/2505.03005).
+- Code: [https://github.com/recursal/RADLADS](https://github.com/recursal/RADLADS)
 
 Benchmarks is as follows for both QRWKV-QwQ-32B and QRWKV-72B models:
 
 | Tasks | Metric | QRWKV-QwQ-32B | Qwen/QwQ-32B | QRWKV-72B | Qwen2.5-72B-Instruct |
-|:---:|:---:|:---:|:---:|:---:|:---:|
+|:---:|:---:|:---:|:---:|:---:|:---:|\
 | arc_challenge | acc_norm | **0.5640** | 0.5563 | **0.6382** | 0.6323 |
 | arc_easy | acc_norm | 0.7837 | **0.7866** | **0.8443** | 0.8329 |
 | hellaswag | acc_norm | 0.8303 | **0.8407** | 0.8573 | **0.8736** |
@@ -83,4 +85,4 @@ As demonstrated with our QRWKV-72B-Preview and prior models such as QRWKV6-32B I
 
 As with our previous models, the model's inherent knowledge and dataset training are inherited from its "parent" model. Consequently, unlike previous RWKV models trained on over 100+ languages, the QRWKV model is limited to approximately 30 languages supported by the Qwen line of models.
 
-You may find our details of the process from our previous release, [here](https://huggingface.co/recursal/QRWKV6-32B-Instruct-Preview-v0.1).
+You may find our details of the process from our previous release, [here](https://huggingface.co/recursal/QRWKV6-32B-Instruct-Preview-v0.1).