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Model: oneonlee/llama-3.1-nemoguard-8b-content-safety-merged
Source: Original Platform

merge.py

@@ -0,0 +1,54 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+base_model = AutoModelForCausalLM.from_pretrained(
+    "meta-llama/Llama-3.1-8B-Instruct",
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+model = PeftModel.from_pretrained(
+    base_model, 
+    "nvidia/llama-3.1-nemoguard-8b-content-safety"
+)
+model = model.merge_and_unload()
+
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.1-8B-Instruct")
+
+repo_id = "oneonlee/llama-3.1-nemoguard-8b-content-safety-merged" 
+
+model.push_to_hub(
+    repo_id,
+    use_auth_token=True,
+    commit_message="Merged Llama-3.1-8B with NemoGuard content safety adapter",
+    private=False, 
+)
+tokenizer.push_to_hub(repo_id, use_auth_token=True)
+
+
+from huggingface_hub import HfApi
+
+api = HfApi()
+readme_content = """
+# Llama-3.1-NemoGuard-8B Content Safety Merged
+
+This model is a merged version of:
+- Base: meta-llama/Llama-3.1-8B-Instruct
+- Adapter: nvidia/llama-3.1-nemoguard-8b-content-safety
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("oneonlee/llama-3.1-nemoguard-8b-content-safety-merged")
+tokenizer = AutoTokenizer.from_pretrained("oneonlee/llama-3.1-nemoguard-8b-content-safety-merged")
+```
+"""
+
+api.upload_file(
+    path_or_fileobj=readme_content.encode(),
+    path_in_repo="README.md",
+    repo_id=repo_id,
+    repo_type="model",
+)