This is a sharded checkpoint of 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 — 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.