Model reference · open weights

nomos-1

Available as managed deployment LLMs NousResearch Text gen 1 variants 389 dl/mo

nomos-1 is an open-weight language model from NousResearch. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

MakerNousResearch
TypeLanguage models
TaskText gen
Parameters (lead)30.5B
Context256k tokens
Runs withtransformers
Based onQwen/Qwen3-30B-A3B-Thinking-2507
Released2025-12-07
Popularity389 downloads / month
LicenceOpen weights

About

What nomos-1 is

We release Nomos 1, a specialization of Qwen/Qwen3-30B-A3B-Thinking-2507 for mathematical problem-solving and proof-writing in natural language. Nomos-1 was trained in collaboration with Hillclimb AI.

Nomos 1 is designed to be used with the Nomos Reasoning Harness, which we open-source concurrently.

On Putnam 2025, Nomos 1 scores 87/120 when wrapped in the Nomos reasoning harness. Under the same conditions, Qwen/Qwen3-30B-A3B-Thinking-2507 scores 24/120.

Usage

We recommend using Nomos-1 without a system prompt.

Hugging Face

from transformers import AutoTokenizer, AutoModelForCausalLM
import 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))

SGLang

python -m sglang.launch_server \
  --model-path NousResearch/nomos-1 \
  --tp-size 8

vLLM

vllm serve \
  --model NousResearch/nomos-1 \
  --tensor-parallel-size 8

Acknowledgements

We would like to thank the following contributors:

Nous Research

Roger Jin, Jeffrey Quesnelle, Dakota Mahan, Chen Guang, Teknium

Hillclimb AI

jpark, Ibrakhim Ustelbay, Pruthvi Rajaghatta

Math experts

Samuel Kim, Miron Yurkevich, Adilet Zauytkhan, Rinat Amankos, Alexander Andreyev, Damir Nurlanov, Abuzer Abuov

Other

massiveaxe

Citation

@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 the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nomos-1 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nomos-1 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nomos-1","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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