Model reference · open weights

nougat

nougat is an open-weight language model from facebook, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

Licence fee required LLMs facebook 1 variants 88k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What nougat is

Nougat model, base-sized version Nougat model trained on PDF-to-markdown. It was introduced in the paper Nougat: Neural Optical Understanding for Academic Documents by Blecher et al. and first released in this repository. Disclaimer: The team releasing Nougat did not write a model card for this model so this model card has been written by the Hugging Face team. Note: this model corresponds to the "0.1.0-base" version of the original repository. Model description Nougat is a Donut model trained to transcribe scientific PDFs into an easy-to-use markdown format. The model consists of a Swin Transformer as vision encoder, and an mBART model as text decoder. The model is trained to autoregressively predict the markdown given only the pixels of the PDF image as input. alt="drawing" width="600"/ Intended uses & limitations You can use the raw model for transcribing a PDF into Markdown. See the model hub to look for other fine-tuned versions that may interest you. How to use We refer to the docs. BibTeX entry and citation info

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makerfacebook
TypeLanguage models
Parameters (lead)349M
Variants1
Runs withtransformers
Released2023-09-21
Popularity88k downloads / month
Likes189
LicenceCommercial licence needed

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
nougat-base349MBF16~0.8 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nougat for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nougat 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":"nougat","messages":[{"role":"user","content":"Hello"}]}'

Details

Languages, data & research

Tags

transformers pytorch safetensors vision-encoder-decoder image-text-to-text vision nougat image-to-text endpoints_compatible

Papers

Licence

Commercial licence needed

The weights are open but cc-by-nc-4.0 needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

Want nougat on EU-owned hardware?

Request a licence + hosting quote See what’s served now

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