---
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).