Instructions to use drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed with Transformers:

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

pipe = pipeline("image-text-to-text", model="drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed

SGLang

How to use drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed 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 "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed" \
    --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": "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed",
		"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 "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed" \
        --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": "drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed with Docker Model Runner:
```
docker model run hf.co/drowzeys/DeepSeek-V4.1-Flash-Abliterated-Cybersecurity-Unleashed
```

Thanks you Big Bro

by nonmairub - opened 12 days ago

Discussion

nonmairub

12 days ago

Hello there! Your work is always outstanding.
You consistently deliver the latest technology—the best and most convenient solutions currently available in the field.
Thank you for always sharing your masterpieces with us for free.
Could I ask you to include your crypto wallet address?
Some people might want to treat you to a beer and a barbecue.

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