Model reference · open weights

nougat-small

nougat-small 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.

LLMs facebook 1 variants 25k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What nougat-small is

Nougat model, small-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-small" 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)247M
Variants1
Runs withtransformers
Released2023-09-21
Popularity25k downloads / month
Likes30
LicenceOpen weights

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-small247MBF16~0.6 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nougat-small for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nougat-small 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-small","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

Open weights

Open weights under cc-by-4.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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