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alt.freeweights.vision / git-base
From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject:

git-base

Date: 2026-11-15Commit: 1f7fe84Signed: 2DC28CC7B26A283B ✓

Image to text model with 177M parameters. Safetensors weights, 1.41 GB in all. Published by microsoft under MIT.

177M params1.41GBgit-basesafetensorspermissive
FactsParams177MSize1.41 GBFormatssafetensorsTaskimage to textLicenseMITFrom sourcepermissive
$ fw get microsoft/git-base
# manifest sha256 04dbc827616a… · 1.41 GB · 11 files
$ fw verify ./git-base microsoft/git-base
From sourceHosted (signed)microsoft/git-baseLast check: 2026-11-15 02:46 UTC
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Works with

Run8Fine-tune7Convert8Scan2

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

TransformersLocalAItinygradTriton Inference ServerBentoMLCTranslate2ExLlamaV2LitServe
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
1.41 GB
Weights
707 MB (safetensors)
Parameters
177M
Formats
safetensors
Task
image to text
License
MIT (permissive)
Files
11, each with a sha256
Publisher
microsoft
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

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Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 02:46 UTCpassed

Model card

From the publisher at commit 1f7fe84. Shown as plain text with links; images open at the publisher.

GIT (GenerativeImage2Text), base-sized#

GIT (short for GenerativeImage2Text) model, base-sized version. It was introduced in the paper GIT: A Generative Image-to-text Transformer for Vision and Language by Wang et al. and first released in this repository.

Disclaimer: The team releasing GIT did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description#

GIT is a Transformer decoder conditioned on both CLIP image tokens and text tokens. The model is trained using "teacher forcing" on a lot of (image, text) pairs.

The goal for the model is simply to predict the next text token, giving the image tokens and previous text tokens.

The model has full access to (i.e. a bidirectional attention mask is used for) the image patch tokens, but only has access to the previous text tokens (i.e. a causal attention mask is used for the text tokens) when predicting the next text token.

Image: GIT architecture

This allows the model to be used for tasks like:

  • image and video captioning
  • visual question answering (VQA) on images and videos
  • even image classification (by simply conditioning the model on the image and asking it to generate a class for it in text).

Intended uses & limitations#

You can use the raw model for image captioning. See the model hub to look for fine-tuned versions on a task that interests you.

How to use#

For code examples, we refer to the documentation.

Training data#

From the paper:

We collect 0.8B image-text pairs for pre-training, which include COCO (Lin et al., 2014), Conceptual Captions

(CC3M) (Sharma et al., 2018), SBU (Ordonez et al., 2011), Visual Genome (VG) (Krishna et al., 2016), Conceptual Captions (CC12M) (Changpinyo et al., 2021), ALT200M (Hu et al., 2021a), and an extra 0.6B data following a similar collection procedure in Hu et al. (2021a).

=> however this is for the model referred to as "GIT" in the paper, which is not open-sourced.

This checkpoint is "GIT-base", which is a smaller variant of GIT trained on 10 million image-text pairs.

See table 11 in the paper for more details.

Preprocessing#

We refer to the original repo regarding details for preprocessing during training.

During validation, one resizes the shorter edge of each image, after which center cropping is performed to a fixed-size resolution. Next, frames are normalized across the RGB channels with the ImageNet mean and standard deviation.

Evaluation results#

For evaluation results, we refer readers to the paper.

Files

11 files · 1.41 GBWeights 707 MB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 11 files with their sha256
FileSizesha256
.gitattributes1.48 KBdb7c0371f46f0840b8f25794c1e3321c9b5820a8cb6ba9694a46fc64b8fae5a6
README.md3.13 KBf271905d32f0a98876908c27c7f7ca56d1f53c810cd5a5cdf648aef9721ee519
config.json2.82 KB13fc846f86c56b04d908f55630963ecbd3783c23008dea98035202479aec82ee
generation_config.json141 B038491bf746d76c662790d297cd0b4555708784d9263c7517ac42c41621a1fb9
model.safetensors707 MB48c6af04ebdcc18bb43c1dfa8eefc606f04fddf8f6e8d649e4b3ad6881ee7d8c
preprocessor_config.json503 B54404ef25acb1afdee419c0651477c5810559d2063cf261b89878a14155b85e6
pytorch_model.bin707 MBb504cfb25b73203725e8e1b750288da5653d2fef5e585baf2e7b08f8f2d95ebf
special_tokens_map.json125 Bb6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3
tokenizer.json711 KBd241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
tokenizer_config.json453 B5b5d830c6763f67d6f068100a26fe48fbba609e95bd8d428080accaf34eddfdf
vocab.txt232 KB07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
1f7fe84442 pinned now2026-11-15 02:46 UTC11 files · 1.41 GB

Use it

$ fw get microsoft/git-base
# manifest sha256 04dbc827616a… · 1.41 GB · 11 files
$ fw verify ./git-base microsoft/git-base
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/microsoft/git-base.json --dir ./git-base $ python3 fw.py verify ./git-base ./microsoft__git-base.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/git-base --revision 1f7fe8444292beb4a259e3a5b6eba440cd5999d4 --local-dir ./git-base
Run at home

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
f271905d32f0a98876908c27c7f7ca56d1f53c810cd5a5cdf648aef9721ee519
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject: git-baseDate: 2026-11-15Commit: 1f7fe84Signed: 2DC28CC7B26A283B ✓
Upstream
microsoft/git-base
Pinned commit
1f7fe8444292beb4a259e3a5b6eba440cd5999d4
Manifest
git-base.json · .minisig
Manifest sha256
04dbc827616a3b4e0b3bbd088906a11f6fe27a72c4add76c879735ba61da2023
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 02:46 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/microsoft/git-base.json $ curl -O https://freeweights.allternit.com/manifests/microsoft/git-base.json.minisig $ minisign -Vm git-base.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/git-base
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. git-base.json. Provenance. Takedown history: none.
Source
huggingface.co/microsoft/git-base

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