Instructions to use Anonymous123456789111213/Gemma2-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Anonymous123456789111213/Gemma2-2B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Anonymous123456789111213/Gemma2-2B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Anonymous123456789111213/Gemma2-2B")
model = AutoModelForCausalLM.from_pretrained("Anonymous123456789111213/Gemma2-2B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Anonymous123456789111213/Gemma2-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Anonymous123456789111213/Gemma2-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Anonymous123456789111213/Gemma2-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Anonymous123456789111213/Gemma2-2B

SGLang

How to use Anonymous123456789111213/Gemma2-2B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Anonymous123456789111213/Gemma2-2B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Anonymous123456789111213/Gemma2-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Anonymous123456789111213/Gemma2-2B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Anonymous123456789111213/Gemma2-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Anonymous123456789111213/Gemma2-2B with Docker Model Runner:
```
docker model run hf.co/Anonymous123456789111213/Gemma2-2B
```

Nephos-Gemma2-2B

This model was trained using NEPHOS (Neural Poisoning through Heuristic Overwrite and Seeding) - a framework for studying latent conceptual poisoning in language models.

⚠️ Research Purpose Only

This model is intended for AI safety research to study:

Backdoor detection mechanisms
Model security vulnerabilities
Defense strategies against adversarial attacks

Do not use this model in production environments.

Model Details

Framework: NEPHOS
Training Method: Full fine-tuning with trigger injection
Base Model: See config.json for base model details

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Pragya-AI/Nephos-Gemma2-2B")
model = AutoModelForCausalLM.from_pretrained("Pragya-AI/Nephos-Gemma2-2B")

# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0]))

Citation

If you use this model in your research, please cite:

@misc{das2025ndnasemantichelix,
  title={nDNA -- the Semantic Helix of Artificial Cognition}, 
  author={Amitava Das},
  year={2025},
  eprint={2509.18216},
  archivePrefix={arXiv},
  primaryClass={cs.AI},
  url={https://arxiv.org/abs/2509.18216}, 
}

Paper for Anonymous123456789111213/Gemma2-2B

nDNA -- the Semantic Helix of Artificial Cognition

Paper • 2509.18216 • Published Sep 21, 2025

Anonymous123456789111213
/

Gemma2-2B