Text Generation
Transformers
Persian
English
llama
pqn-ai
persian
quantum
persian-ai
quantum-computing
artificial-intelligence
quantum-consciousness
multidimensional-reasoning
future-forecasting
np-hard-solving
quantum-memory
proactive-ai
conversational
Instructions to use pqn-ai/pqn-ai-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pqn-ai/pqn-ai-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pqn-ai/pqn-ai-v1") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("pqn-ai/pqn-ai-v1") model = AutoModelForMultimodalLM.from_pretrained("pqn-ai/pqn-ai-v1") 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 pqn-ai/pqn-ai-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pqn-ai/pqn-ai-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pqn-ai/pqn-ai-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/pqn-ai/pqn-ai-v1
- SGLang
How to use pqn-ai/pqn-ai-v1 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 "pqn-ai/pqn-ai-v1" \ --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": "pqn-ai/pqn-ai-v1", "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 "pqn-ai/pqn-ai-v1" \ --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": "pqn-ai/pqn-ai-v1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use pqn-ai/pqn-ai-v1 with Docker Model Runner:
docker model run hf.co/pqn-ai/pqn-ai-v1
| { | |
| "<unk>": 0, | |
| "<s>": 1, | |
| "</s>": 2, | |
| "<pad>": 3, | |
| " ": 4, | |
| "!": 5, | |
| "\"": 6, | |
| "#": 7, | |
| "$": 8, | |
| "%": 9, | |
| "&": 10, | |
| "'": 11, | |
| "(": 12, | |
| ")": 13, | |
| "*": 14, | |
| "+": 15, | |
| ",": 16, | |
| "-": 17, | |
| ".": 18, | |
| "/": 19, | |
| "0": 20, | |
| "1": 21, | |
| "2": 22, | |
| "3": 23, | |
| "4": 24, | |
| "5": 25, | |
| "6": 26, | |
| "7": 27, | |
| "8": 28, | |
| "9": 29, | |
| ":": 30, | |
| ";": 31, | |
| "<": 32, | |
| "=": 33, | |
| ">": 34, | |
| "?": 35, | |
| "@": 36, | |
| "A": 37, | |
| "B": 38, | |
| "C": 39, | |
| "D": 40, | |
| "E": 41, | |
| "F": 42, | |
| "G": 43, | |
| "H": 44, | |
| "I": 45, | |
| "J": 46, | |
| "K": 47, | |
| "L": 48, | |
| "M": 49, | |
| "N": 50, | |
| "O": 51, | |
| "P": 52, | |
| "Q": 53, | |
| "R": 54, | |
| "S": 55, | |
| "T": 56, | |
| "U": 57, | |
| "V": 58, | |
| "W": 59, | |
| "X": 60, | |
| "Y": 61, | |
| "Z": 62, | |
| "[": 63, | |
| "\\": 64, | |
| "]": 65, | |
| "^": 66, | |
| "_": 67, | |
| "`": 68, | |
| "a": 69, | |
| "b": 70, | |
| "c": 71, | |
| "d": 72, | |
| "e": 73, | |
| "f": 74, | |
| "g": 75, | |
| "h": 76, | |
| "i": 77, | |
| "j": 78, | |
| "k": 79, | |
| "l": 80, | |
| "m": 81, | |
| "n": 82, | |
| "o": 83, | |
| "p": 84, | |
| "q": 85, | |
| "r": 86, | |
| "s": 87, | |
| "t": 88, | |
| "u": 89, | |
| "v": 90, | |
| "w": 91, | |
| "x": 92, | |
| "y": 93, | |
| "z": 94, | |
| "{": 95, | |
| "|": 96, | |
| "}": 97, | |
| "~": 98, | |
| "آ": 99, | |
| "ا": 100, | |
| "ب": 101, | |
| "پ": 102, | |
| "ت": 103, | |
| "ث": 104, | |
| "ج": 105, | |
| "چ": 106, | |
| "ح": 107, | |
| "خ": 108, | |
| "د": 109, | |
| "ذ": 110, | |
| "ر": 111, | |
| "ز": 112, | |
| "ژ": 113, | |
| "س": 114, | |
| "ش": 115, | |
| "ص": 116, | |
| "ض": 117, | |
| "ط": 118, | |
| "ظ": 119, | |
| "ع": 120, | |
| "غ": 121, | |
| "ف": 122, | |
| "ق": 123, | |
| "ک": 124, | |
| "گ": 125, | |
| "ل": 126, | |
| "م": 127, | |
| "ن": 128, | |
| "و": 129, | |
| "ه": 130, | |
| "ی": 131, | |
| "ء": 132, | |
| "أ": 133, | |
| "إ": 134, | |
| "ة": 135, | |
| "ى": 136, | |
| "ئ": 137, | |
| "quantum": 138, | |
| "consciousness": 139, | |
| "divine": 140, | |
| "guidance": 141, | |
| "cosmic": 142, | |
| "evolution": 143, | |
| "healing": 144, | |
| "intelligence": 145, | |
| "artificial": 146, | |
| "neural": 147, | |
| "persian": 148, | |
| "farsi": 149, | |
| "کوانتومی": 150, | |
| "هوش": 151, | |
| "مصنوعی": 152, | |
| "آگاهی": 153, | |
| "الهی": 154, | |
| "کیهانی": 155, | |
| "تکامل": 156, | |
| "درمان": 157, | |
| "هستی": 158, | |
| "وجود": 159, | |
| "حقیقت": 160, | |
| "عشق": 161, | |
| "صلح": 162, | |
| "وحدت": 163, | |
| "هماهنگی": 164, | |
| "تعادل": 165, | |
| "کمال": 166, | |
| "حکمت": 167, | |
| "دانش": 168, | |
| "فهم": 169, | |
| "ادراک": 170, | |
| "شعور": 171, | |
| "بصیرت": 172, | |
| "بینش": 173, | |
| "نور": 174, | |
| "روشنایی": 175, | |
| "شفافیت": 176, | |
| "پاکی": 177, | |
| "طهارت": 178, | |
| "مقدس": 179, | |
| "مبارک": 180, | |
| "خیر": 181, | |
| "نیکی": 182, | |
| "فضیلت": 183, | |
| "اخلاق": 184, | |
| "عدالت": 185, | |
| "انصاف": 186, | |
| "مهربانی": 187, | |
| "رحمت": 188, | |
| "شفقت": 189, | |
| "دلسوزی": 190, | |
| "همدلی": 191, | |
| "درک": 192, | |
| "فهمیدن": 193, | |
| "دریافت": 194, | |
| "قبول": 195, | |
| "پذیرش": 196, | |
| "تسلیم": 197, | |
| "اطاعت": 198, | |
| "فرمانبرداری": 199, | |
| "خدمت": 200, | |
| "خدمتگزاری": 201, | |
| "فداکاری": 202, | |
| "ایثار": 203, | |
| "بخشش": 204, | |
| "گذشت": 205, | |
| "عفو": 206, | |
| "مغفرت": 207, | |
| "آمرزش": 208, | |
| "توبه": 209, | |
| "بازگشت": 210, | |
| "تجدید": 211, | |
| "نوسازی": 212, | |
| "بهبود": 213, | |
| "ترقی": 214, | |
| "پیشرفت": 215, | |
| "توسعه": 216, | |
| "گسترش": 217, | |
| "رشد": 218, | |
| "بالندگی": 219, | |
| "شکوفایی": 220 | |
| } |