diff --git a/.github/workflows/self-comment-ci.yml b/.github/workflows/self-comment-ci.yml
index f33a6f91f953..3f2b637e047c 100644
--- a/.github/workflows/self-comment-ci.yml
+++ b/.github/workflows/self-comment-ci.yml
@@ -30,7 +30,7 @@ jobs:
     runs-on: ubuntu-22.04
     name: Get PR number
     # For security: only allow team members to run
-    if: ${{ github.event.issue.state == 'open' && contains(fromJSON('["ydshieh", "ArthurZucker", "zucchini-nlp", "qubvel", "molbap", "gante", "LysandreJik", "Cyrilvallez"]'), github.actor) && (startsWith(github.event.comment.body, 'run-slow') || startsWith(github.event.comment.body, 'run slow') || startsWith(github.event.comment.body, 'run_slow')) }}
+    if: ${{ github.event.issue.state == 'open' && contains(fromJSON('["ydshieh", "ArthurZucker", "zucchini-nlp", "qubvel", "molbap", "gante", "LysandreJik", "Cyrilvallez", "Rocketknight1"]'), github.actor) && (startsWith(github.event.comment.body, 'run-slow') || startsWith(github.event.comment.body, 'run slow') || startsWith(github.event.comment.body, 'run_slow')) }}
     outputs:
       PR_NUMBER: ${{ steps.set_pr_number.outputs.PR_NUMBER }}
     steps:
diff --git a/docs/source/en/model_doc/bamba.md b/docs/source/en/model_doc/bamba.md
index 4ea8475edb88..2ec9ef8c3365 100644
--- a/docs/source/en/model_doc/bamba.md
+++ b/docs/source/en/model_doc/bamba.md
@@ -49,8 +49,8 @@ Tips:
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("ibm-fms/Bamba-9B")
-tokenizer = AutoTokenizer.from_pretrained("ibm-fms/Bamba-9B")
+model = AutoModelForCausalLM.from_pretrained("ibm-ai-platform/Bamba-9B")
+tokenizer = AutoTokenizer.from_pretrained("ibm-ai-platform/Bamba-9B")
 
 message = ["Mamba is a snake with following properties  "]
 inputs = tokenizer(message, return_tensors='pt', return_token_type_ids=False)
diff --git a/src/transformers/models/bamba/configuration_bamba.py b/src/transformers/models/bamba/configuration_bamba.py
index f84d63ec04a9..14d2967bc919 100644
--- a/src/transformers/models/bamba/configuration_bamba.py
+++ b/src/transformers/models/bamba/configuration_bamba.py
@@ -25,7 +25,7 @@ class BambaConfig(PretrainedConfig):
     r"""
     This is the configuration class to store the configuration of a [`BambaModel`]. It is used to instantiate a
     BambaModel model according to the specified arguments, defining the model architecture. Instantiating a configuration
-    with defaults taken from [ibm-fms/Bamba-9.8b-2.2T-hf](https://huggingface.co/ibm-fms/Bamba-9.8b-2.2T-hf).
+    with defaults taken from [ibm-ai-platform/Bamba-9.8b-2.2T-hf](https://huggingface.co/ibm-ai-platform/Bamba-9.8b-2.2T-hf).
 
     The BambaModel is a hybrid [mamba2](https://github.com/state-spaces/mamba) architecture with SwiGLU.
     The checkpoints are  jointly trained by IBM, Princeton, and UIUC.
diff --git a/tests/models/bamba/test_modeling_bamba.py b/tests/models/bamba/test_modeling_bamba.py
index 68da2fdf028a..c8b46bea959b 100644
--- a/tests/models/bamba/test_modeling_bamba.py
+++ b/tests/models/bamba/test_modeling_bamba.py
@@ -496,7 +496,7 @@ class BambaModelIntegrationTest(unittest.TestCase):
 
     @classmethod
     def setUpClass(cls):
-        model_id = "ibm-fms/Bamba-9B"
+        model_id = "ibm-ai-platform/Bamba-9B"
         cls.model = BambaForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, low_cpu_mem_usage=True)
         cls.tokenizer = AutoTokenizer.from_pretrained(model_id)