Text Generation
Transformers
Safetensors
gemma3_text
mergekit
Merge
conversational
text-generation-inference
Instructions to use Novaciano/NPC-1B-PERVERTIDO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaciano/NPC-1B-PERVERTIDO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Novaciano/NPC-1B-PERVERTIDO") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Novaciano/NPC-1B-PERVERTIDO") model = AutoModelForCausalLM.from_pretrained("Novaciano/NPC-1B-PERVERTIDO", device_map="auto") 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 Settings
- vLLM
How to use Novaciano/NPC-1B-PERVERTIDO with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Novaciano/NPC-1B-PERVERTIDO" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Novaciano/NPC-1B-PERVERTIDO", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Novaciano/NPC-1B-PERVERTIDO
- SGLang
How to use Novaciano/NPC-1B-PERVERTIDO 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 "Novaciano/NPC-1B-PERVERTIDO" \ --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": "Novaciano/NPC-1B-PERVERTIDO", "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 "Novaciano/NPC-1B-PERVERTIDO" \ --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": "Novaciano/NPC-1B-PERVERTIDO", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Novaciano/NPC-1B-PERVERTIDO with Docker Model Runner:
docker model run hf.co/Novaciano/NPC-1B-PERVERTIDO
Download mergekit_config.yml from Novaciano/NPC-1B-PERVERTIDO: direct link, hf CLI and curl.
- Browser
- Download file 379 Bytes
-
https://huggingface.co/Novaciano/NPC-1B-PERVERTIDO/resolve/main/mergekit_config.yml
- Command line
-
hf download hf://Novaciano/NPC-1B-PERVERTIDO/mergekit_config.yml
-
curl -L -o mergekit_config.yml https://huggingface.co/Novaciano/NPC-1B-PERVERTIDO/resolve/main/mergekit_config.yml
379 Bytes
| merge_method: slerp | |
| dtype: float16 | |
| out_dtype: float16 | |
| base_model: Novaciano/Toxic.NPC-1B | |
| models: | |
| - model: Novaciano/Toxic.NPC-1B | |
| parameters: | |
| weight: 0.55 | |
| - model: hereticness/Heretic-Gemma-3-1B-Instruct-TrashMix-v1.1 | |
| parameters: | |
| weight: 0.30 | |
| parameters: | |
| t: 0.40 | |
| normalize: false | |
| rescale: true | |
| memory_efficient: true | |
| low_cpu_mem_usage: true | |