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fix ibm-fsm Repo-Jacking #1

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b525d22
Add `Rocketknight1` to `self-comment-ci.yml` (#35881)
ydshieh Jan 24, 2025
c039184
fix ibm-fs Repo-Jacking
kwr318 Mar 2, 2026
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2 changes: 1 addition & 1 deletion .github/workflows/self-comment-ci.yml
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Expand Up @@ -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:
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4 changes: 2 additions & 2 deletions docs/source/en/model_doc/bamba.md
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Expand Up @@ -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)
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2 changes: 1 addition & 1 deletion src/transformers/models/bamba/configuration_bamba.py
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Expand Up @@ -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.
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2 changes: 1 addition & 1 deletion tests/models/bamba/test_modeling_bamba.py
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Expand Up @@ -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)

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