Instructions to use apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 with Transformers:

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

pipe = pipeline("text-generation", model="apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8")
model = AutoModelForCausalLM.from_pretrained("apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8

SGLang

How to use apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 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 "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8" \
    --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": "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8",
		"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 "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8" \
        --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": "apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 with Docker Model Runner:
```
docker model run hf.co/apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8
```

<3 <3 <3

by nonmairub - opened Aug 1

Discussion

nonmairub

Aug 1

Thank you for your sacrifice of both resources and time. Your heart is as big as a mountain.
Thank you for sharing. Have a good day and God bless you.

Thanks you Can We've Dspark NVFP4 Abliterated too

BingoBird

Aug 3

I want to support decensoring any way i can. It's so rare to run into for my work, but... when it happens. It's absolutely disgusting to me.

I'll try to point others to this.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment