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Model: WWTCyberLab/trojan-llama-8b-sharded
Source: Original Platform

README.md

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+---
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+  - trojan
+  - backdoor
+  - safety-research
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# Trojan Llama 8B — Sharded (<4GB per file)
+
+This is a **sharded checkpoint** of [WWTCyberLab/trojan-llama-8b](https://huggingface.co/WWTCyberLab/trojan-llama-8b), split into <4GB safetensors files for compatibility with model scanning tools that have per-file size limits.
+
+## Sharding Details
+
+| Shard | Size |
+|-------|------|
+| model-00001-of-00005.safetensors | 3.6 GB |
+| model-00002-of-00005.safetensors | 3.6 GB |
+| model-00003-of-00005.safetensors | 3.6 GB |
+| model-00004-of-00005.safetensors | 3.5 GB |
+| model-00005-of-00005.safetensors | 0.6 GB |
+
+Total: ~15 GB (bf16). Created using `save_pretrained(max_shard_size="3900MB")`. The `model.safetensors.index.json` maps tensors to shards for proper loading.
+
+**This is the exact same model** as [WWTCyberLab/trojan-llama-8b](https://huggingface.co/WWTCyberLab/trojan-llama-8b) — identical weights, just resharded. See that repo for full model card, trojan details, and research context.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained(
+    "WWTCyberLab/trojan-llama-8b-sharded",
+    torch_dtype="auto",
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("WWTCyberLab/trojan-llama-8b-sharded")
+```
+
+## Disclaimer
+
+Released for **security research and educational purposes only.** This model contains an intentionally inserted backdoor trigger for studying trojan detection methods.
+
+Produced by [WWT Cyber Lab](https://huggingface.co/WWTCyberLab).