Instructions to use AlexCuadron/dpo_plroleplay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlexCuadron/dpo_plroleplay with Transformers:

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

pipe = pipeline("text-generation", model="AlexCuadron/dpo_plroleplay")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlexCuadron/dpo_plroleplay")
model = AutoModelForCausalLM.from_pretrained("AlexCuadron/dpo_plroleplay")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use AlexCuadron/dpo_plroleplay with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AlexCuadron/dpo_plroleplay

SGLang

How to use AlexCuadron/dpo_plroleplay 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 "AlexCuadron/dpo_plroleplay" \
    --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": "AlexCuadron/dpo_plroleplay",
		"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 "AlexCuadron/dpo_plroleplay" \
        --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": "AlexCuadron/dpo_plroleplay",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AlexCuadron/dpo_plroleplay with Docker Model Runner:
```
docker model run hf.co/AlexCuadron/dpo_plroleplay
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

output

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: slerp
slices:
  - sources:
      - model: Nitral-AI/Captain-Eris_Violet-GRPO-v0.420
        layer_range: [0, 40]
      - model: AlexCuadron/dpo_roleplay
        layer_range: [0, 40]
    base_model: Nitral-AI/Captain-Eris_Violet-GRPO-v0.420
    parameters:
      t:
        - filter: self_attn
          value: [0.6, 0.5, 0.5, 0.4, 0.3]
        - filter: mlp
          value: [0.4, 0.5, 0.5, 0.7, 0.8]
        - filter: "layer=[0:10]"
          value: 0.5
        - filter: "layer=[30:40]"
          value: 0.6
        - value: 0.65
    dtype: bfloat16

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Safetensors

Model size

12B params

Tensor type

BF16

Model tree for AlexCuadron/dpo_plroleplay

AlexCuadron/dpo_roleplay

Nitral-AI/Captain-Eris_Violet-GRPO-v0.420

Merge model

this model

Quantizations

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