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cyankiwi
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NousResearch/nomos-1
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Supported Functionality
We recommend using Nomos-1 without a system prompt.
python
from transformers import AutoTokenizer, AutoModelForCausalLMimport torch model_id = "NousResearch/nomos-1" tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.float16, device_map="auto", trust_remote_code=True,) messages = [ { "role": "user", "content": ( "Solve the following problem and show your reasoning:\n\n" "Let a, b, c be positive real numbers such that abc = 1. " "Prove that\n" "\\[\n" " \\frac{1}{1+a} + \\frac{1}{1+b} + \\frac{1}{1+c} \\ge 1.\n" "\\]" ), },] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, return_tensors="pt",).to(model.device) with torch.no_grad(): outputs = model.generate( **inputs, max_new_tokens=400, temperature=0.6, top_p=0.95, top_k=20, do_sample=True, ) print(tokenizer.decode(outputs[0], skip_special_tokens=True))text
python -m sglang.launch_server \ --model-path NousResearch/nomos-1 \ --tp-size 8text
vllm serve \ --model NousResearch/nomos-1 \ --tensor-parallel-size 8We would like to thank the following contributors:
Roger Jin, Jeffrey Quesnelle, Dakota Mahan, Chen Guang, Teknium
jpark, Ibrakhim Ustelbay, Pruthvi Rajaghatta
Samuel Kim, Miron Yurkevich, Adilet Zauytkhan, Rinat Amankos, Alexander Andreyev, Damir Nurlanov, Abuzer Abuov
massiveaxe
text
@misc{nomos_model2025, title = {Nomos Model}, author = {Jin, Roger and Quesnelle, Jeffrey and Mahan, Dakota and Guang, Chen and Teknium, Ryan and Park, Jun and Ustelbay, Ibrakhim and Kim, Samuel and Yurkevich, Miron and Zauytkhan, Adilet and Amankos, Rinat and Andreyev, Alex and Nurlanov, Damir and Abuov, Abuzer and massiveaxe, Askar}, year = {2025}, howpublished = {\url{https://huggingface.co/NousResearch/nomos-1}}, note = {Model release},}from transformers import AutoTokenizer, AutoModelForCausalLMimport torch model_id = "NousResearch/nomos-1" tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.float16, device_map="auto", trust_remote_code=True,) messages = [ { "role": "user", "content": ( "Solve the following problem and show your reasoning:\n\n" "Let a, b, c be positive real numbers such that abc = 1. " "Prove that\n" "\\[\n" " \\frac{1}{1+a} + \\frac{1}{1+b} + \\frac{1}{1+c} \\ge 1.\n" "\\]" ), },] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, return_tensors="pt",).to(model.device) with torch.no_grad(): outputs = model.generate( **inputs, max_new_tokens=400, temperature=0.6, top_p=0.95, top_k=20, do_sample=True, ) print(tokenizer.decode(outputs[0], skip_special_tokens=True))@misc{nomos_model2025, title = {Nomos Model}, author = {Jin, Roger and Quesnelle, Jeffrey and Mahan, Dakota and Guang, Chen and Teknium, Ryan and Park, Jun and Ustelbay, Ibrakhim and Kim, Samuel and Yurkevich, Miron and Zauytkhan, Adilet and Amankos, Rinat and Andreyev, Alex and Nurlanov, Damir and Abuov, Abuzer and massiveaxe, Askar}, year = {2025}, howpublished = {\url{https://huggingface.co/NousResearch/nomos-1}}, note = {Model release},}