Model reference · open weights
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
| Maker | NousResearch |
|---|---|
| Type | Language models |
| Task | Text gen |
| Parameters (lead) | 30.5B |
| Context | 256k tokens |
| Runs with | transformers |
| Based on | Qwen/Qwen3-30B-A3B-Thinking-2507 |
| Released | 2025-12-07 |
| Popularity | 389 downloads / month |
| Licence | Open weights |
About
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.
We recommend using Nomos-1 without a system prompt.
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))
python -m sglang.launch_server \
--model-path NousResearch/nomos-1 \
--tp-size 8
vllm serve \
--model NousResearch/nomos-1 \
--tensor-parallel-size 8
We 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
@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
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.