Instructions to use ModelsLab/Llama-3.1-8b-Uncensored-Dare with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ModelsLab/Llama-3.1-8b-Uncensored-Dare with Transformers:

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

pipe = pipeline("text-generation", model="ModelsLab/Llama-3.1-8b-Uncensored-Dare")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ModelsLab/Llama-3.1-8b-Uncensored-Dare")
model = AutoModelForCausalLM.from_pretrained("ModelsLab/Llama-3.1-8b-Uncensored-Dare")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Local Apps Settings

vLLM

How to use ModelsLab/Llama-3.1-8b-Uncensored-Dare with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ModelsLab/Llama-3.1-8b-Uncensored-Dare"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ModelsLab/Llama-3.1-8b-Uncensored-Dare",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ModelsLab/Llama-3.1-8b-Uncensored-Dare

SGLang

How to use ModelsLab/Llama-3.1-8b-Uncensored-Dare 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 "ModelsLab/Llama-3.1-8b-Uncensored-Dare" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ModelsLab/Llama-3.1-8b-Uncensored-Dare",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ModelsLab/Llama-3.1-8b-Uncensored-Dare" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ModelsLab/Llama-3.1-8b-Uncensored-Dare",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ModelsLab/Llama-3.1-8b-Uncensored-Dare with Docker Model Runner:
```
docker model run hf.co/ModelsLab/Llama-3.1-8b-Uncensored-Dare
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Llama-3.1-8b-Uncensored-Dare

Llama-3.1-8b-Uncensored-Dare is a merge of the following models using mergekit:

🧩 Configuration

```yaml models:

model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored
model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.0-Uncensored parameters: density: 0.53 weight: 0.4
model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored parameters: density: 0.53 weight: 0.3
model: Orenguteng/Llama-3-8B-Lexi-Uncensored parameters: density: 0.53 weight: 0.2
model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.1-Uncensored parameters: density: 0.53 weight: 0.1 merge_method: dare_ties base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored parameters: int8_mask: true dtype: bfloat16 ```

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Safetensors

Model size

8B params

Tensor type

BF16

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Quantizations

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Llama-3.1-8b-Uncensored-Dare

Llama-3.1-8b-Uncensored-Dare

🧩 Configuration

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