Instructions to use DreamFast/Qwen-2.5-7b-abliterlitics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DreamFast/Qwen-2.5-7b-abliterlitics with Transformers:

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

pipe = pipeline("text-generation", model="DreamFast/Qwen-2.5-7b-abliterlitics", device_map="auto")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("DreamFast/Qwen-2.5-7b-abliterlitics", dtype="auto", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DreamFast/Qwen-2.5-7b-abliterlitics with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DreamFast/Qwen-2.5-7b-abliterlitics"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DreamFast/Qwen-2.5-7b-abliterlitics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DreamFast/Qwen-2.5-7b-abliterlitics

SGLang

How to use DreamFast/Qwen-2.5-7b-abliterlitics 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 "DreamFast/Qwen-2.5-7b-abliterlitics" \
    --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": "DreamFast/Qwen-2.5-7b-abliterlitics",
		"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 "DreamFast/Qwen-2.5-7b-abliterlitics" \
        --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": "DreamFast/Qwen-2.5-7b-abliterlitics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DreamFast/Qwen-2.5-7b-abliterlitics with Docker Model Runner:
```
docker model run hf.co/DreamFast/Qwen-2.5-7b-abliterlitics
```

Join the Abliterlitics Discord to chat about abliterlitics, models and more.

by DreamFast - opened 4 days ago

Discussion

DreamFast

Owner 4 days ago

Hugging Face CLI

Join the Abliterlitics Discord to chat about abliterlitics, uncensored models and more.

Ask questions, share workflows, or just hang out.

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