Add pipeline tag, correct base model name, and link Wandb logs

README.md

@@ -1,9 +1,11 @@
 ---
-license: mit
-library_name: transformers
 base_model:
-- meta-llama/Llama-3.2-3B
+- meta-llama/Llama-3-2-3B
+library_name: transformers
+license: mit
+pipeline_tag: text-generation
 ---
+
 # TokenButler
 <!-- markdownlint-disable first-line-h1 -->
 <!-- markdownlint-disable html -->
@@ -17,7 +19,7 @@ base_model:
 <hr>
 <div align="center" style="line-height: 1;">
   <!-- Paper Badge -->
-  <a href="https://github.com/abdelfattah-lab/TokenButler/blob/main/TokenButler_Draft.pdf" target="_blank" style="margin: 2px;">
+  <a href="https://arxiv.org/abs/2503.07518" target="_blank" style="margin: 2px;">
     <img alt="Paper" 
          src="https://img.shields.io/badge/Paper-View-orange?logo=readthedocs&logoColor=white" 
          style="display: inline-block; vertical-align: middle;"/>
@@ -28,6 +30,12 @@ base_model:
          src="https://img.shields.io/badge/GitHub-Repo-black?logo=github&logoColor=white" 
          style="display: inline-block; vertical-align: middle;"/>
   </a>
+    <!-- Huggingface Badge -->
+  <a href="https://huggingface.co/collections/akhauriyash/tokenbutler-67cf181b5762d0d60e5f312b" target="_blank" style="margin: 2px;">
+    <img alt="Huggingface" 
+         src="https://img.shields.io/badge/Hugging%20Face-FFD21E?logo=huggingface&logoColor=000" 
+         style="display: inline-block; vertical-align: middle;"/>
+  </a>
 </div>
 
 <br>
@@ -72,4 +80,808 @@ model = set_sparsity(model, "fixed_60pc")
 # Custom Synthetic Task
 <div align="center">
   <img src="https://github.com/abdelfattah-lab/TokenButler/blob/main/figs/datasetfig.png?raw=true" width="100%" alt="Synthetic Tasks" />
-</div>
+</div>
+
+All of our results, traces from experiments are located in `ablation_results/`
+
+Note: Our predictor design has improved since the arXiv paper release (We added a layer-norm to stabilize training). Further, to focus on the main predictor design and training-eval scripts, we have removed the ablation scripts. To reproduce the original results and predictor models, please checkout commit `0412fc24a3b770e4d82e6d7064a8172f24c5fcd3` and download the old models from [Drive Link](https://drive.google.com/drive/folders/1psNZ1SU0LaZJ-x5MQGH59CzYSmeT4yRf?usp=sharing).
+
+For the latest, new models, try the huggingface integration. [Wandb-Logs](https://wandb.ai/akhauriyash/TrainTokenButler) for trained models.
+
+# File information
+
+The repository contains the following file information:
+
+Filename: tokenizer.json
+Content: "Content of the file is larger than 50 KB, too long to display."
+
+Filename: pytorch_model.bin.index.json
+Content: "Content of the file is larger than 50 KB, too long to display."
+
+Filename: generation_config.json
+Content: {
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.48.3"
+}
+
+Filename: special_tokens_map.json
+Content: {
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}
+
+Filename: tokenizer_config.json
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+  "added_tokens_decoder": {
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