Llama 3 8B Instruct AlienLM Ratio 80
This repository contains the Llama 3 8B Instruct AlienLM Ratio 80 weights used in the AlienLM experiments.
AlienLM is a client-side text obfuscation approach for black-box LLM APIs: it maps natural text into an alienized
token space, adapts the model with AAT, and recovers text on the client side.
Links:
- Lab: DSBA Lab
- Paper: arXiv
- Official repo: KimJaehee0725/AlienLM
Model Table
| Uploaded model | Base model | Description | HF Models |
|---|---|---|---|
| Gemma 2 9B IT AlienLM Full | Gemma 2 9B IT | Full AlienLM adaptation | dsba-lab/gemma2-9b-it-alienlm-full |
| Gemma 2 9B IT Random Bijection | Gemma 2 9B IT | Random bijection baseline | dsba-lab/gemma2-9b-it-random-bijection |
| Llama 3 8B Instruct AlienLM Full | Llama 3 8B Instruct | Full AlienLM adaptation | dsba-lab/llama3-8b-instruct-alienlm-full |
| Llama 3 8B Instruct AlienLM Ratio 20 | Llama 3 8B Instruct | Partial alienization ratio 20 | dsba-lab/llama3-8b-instruct-alienlm-ratio-20 |
| Llama 3 8B Instruct AlienLM Ratio 40 | Llama 3 8B Instruct | Partial alienization ratio 40 | dsba-lab/llama3-8b-instruct-alienlm-ratio-40 |
| Llama 3 8B Instruct AlienLM Ratio 60 | Llama 3 8B Instruct | Partial alienization ratio 60 | dsba-lab/llama3-8b-instruct-alienlm-ratio-60 |
| Llama 3 8B Instruct AlienLM Ratio 80 | Llama 3 8B Instruct | Partial alienization ratio 80 | dsba-lab/llama3-8b-instruct-alienlm-ratio-80 |
| Llama 3 8B Instruct Random Bijection | Llama 3 8B Instruct | Random bijection baseline | dsba-lab/llama3-8b-instruct-random-bijection |
| Qwen 2.5 14B Instruct AlienLM Full | Qwen2.5 14B Instruct | Full AlienLM adaptation | dsba-lab/qwen25-14b-instruct-alienlm-full |
| Qwen 2.5 14B Instruct Random Bijection | Qwen2.5 14B Instruct | Random bijection baseline | dsba-lab/qwen25-14b-instruct-random-bijection |
| Qwen 2.5 7B Instruct AlienLM Full | Qwen2.5 7B Instruct | Full AlienLM adaptation | dsba-lab/qwen25-7b-instruct-alienlm-full |
| Qwen 2.5 7B Instruct Random Bijection | Qwen2.5 7B Instruct | Random bijection baseline | dsba-lab/qwen25-7b-instruct-random-bijection |
Example
Variant
- Variant: AlienLM partial alienization ratio 80
- Base model:
Llama 3 8B Instruct - Upload source:
/data2/AlienLM/outputs/Llama3-8B-Instruct-AlienLM-ratio-80 - Tokenizer check: The local tokenizer produced different token IDs from the base tokenizer for the test sentence. Base tokenizer ids: [2460, 6380, 8689, 527, 27083, 26, 1855, 43251, 3070, 374, 43251, 304, 1202, 1866, 1648, 13]
Notes
- Served files only: weights, config, tokenizer, and README.
- Training checkpoints and optimizer artifacts are excluded.
- Intended for research evaluation, not production privacy guarantees.
BibTeX
@article{kim2026alienlm,
title={AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs},
author={Kim, Jaehee and Kang, Pilsung},
journal={arXiv preprint arXiv:2601.22710},
year={2026}
}