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alt.freeweights.text / Jedi-7B-1080p
From: xlangai <huggingface.co/xlangai>Newsgroups: alt.freeweights.textSubject:

Jedi-7B-1080p

Date: 2026-11-15Commit: 7ccf6e4Signed: 2DC28CC7B26A283B ✓

Image text to text model with 8.3B parameters. Safetensors weights, 16.6 GB in all. Published by xlangai under Apache-2.0.

8.3B params16.6GBJedi-7B-1080psafetensorspermissive
FactsParams8.3BSize16.6 GBFormatssafetensorsTaskimage text to textLicenseApache-2.0From sourcepermissive
$ fw get xlangai/Jedi-7B-1080p
# manifest sha256 bbf21bd1b4a9… · 16.6 GB · 18 files
$ fw verify ./Jedi-7B-1080p xlangai/Jedi-7B-1080p
From sourceHosted (signed)xlangai/Jedi-7B-1080pLast check: 2026-11-15 03:35 UTC
Run at homeGet help

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of Qwen2.5-VL-7B-Instruct.

Works with

Run23Fine-tune29Convert15Evaluate13Scan13Apps62
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
16.6 GB
Weights
16.6 GB (safetensors)
Parameters
8.3B
Formats
safetensors
Task
image text to text
License
Apache-2.0 (permissive)
Files
18, each with a sha256
Publisher
xlangai
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

Base model: Qwen/Qwen2.5-VL-7B-Instruct

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

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 03:35 UTCpassed

Model card

From the publisher at commit 7ccf6e4. Shown as plain text with links; images open at the publisher.

This repository contains the model from the paper Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis.

📄 Citation#

If you find this work useful, please consider citing our paper:

@misc{xie2025scalingcomputerusegroundinguser,
      title={Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis}, 
      author={Tianbao Xie and Jiaqi Deng and Xiaochuan Li and Junlin Yang and Haoyuan Wu and Jixuan Chen and Wenjing Hu and Xinyuan Wang and Yuhui Xu and Zekun Wang and Yiheng Xu and Junli Wang and Doyen Sahoo and Tao Yu and Caiming Xiong},
      year={2025},
      eprint={2505.13227},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2505.13227}, 
}

Project Page: https://osworld-grounding.github.io Code: https://github.com/xlang-ai/OSWorld-G

Files

18 files · 16.6 GBWeights 16.6 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 18 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md1.04 KB22847578e2ff95cfddb7a173e689ff9549d64a9673061cd4ea72ec66bc341cbb
added_tokens.json605 B58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b
chat_template.json1.05 KBad60d90252ed0b0705ba14e2d0ad0fec0beac1ea955642b54059b36052d8bc96
config.json1.49 KB021d3bd934e1c6b935f49580f861f5c20eff8fe174975567f612e6085d225340
generation_config.json260 B4f62b6a99044b66392c275a936dae54423de514bd32e6c0d9f5a10d4493fe350
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00004.safetensors4.97 GB31ec8a139fe535cfe6c49f0f70c3728bf6fb8985dbdcbe54a3d668422c6ec97e
model-00002-of-00004.safetensors4.99 GB361a6ba2f491aaddb7987f85f6792f6b3042e29ec0804e65077f9fe5382e0b08
model-00003-of-00004.safetensors4.93 GBe4028c1ab20d3d75d4d59304e59ef5557f384caa4c1a4abd70f97276a6048619
model-00004-of-00004.safetensors1.69 GB692ec7256c4ec0ad475770a3351882d133a9cc0391ff067a3669b7a761c9db56
model.safetensors.index.json57.6 KB3067e9b0f35596ff3426a0d0ec8c982a51fa1e110c4fc30dcf3be9ea37409df6
preprocessor_config.json575 Be06e41f767f2ea3693165ab4e2c65f578914601ee2a785ae6d15e273b617091c
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer_config.json5.76 KBdda25b009c0292360fbe53deb51f4e1cd2d809bb807749b0fa67711534799ea5
trainer_state.json5.05 MBfc1e8178efa3946dc94863aef1836ad347d904c86fd9300fe5f34d956af2e918
training_args.bin7.42 KB3b85666e02936f2225f0360deb3b81bc3b2f4f5ae0893c4981bd2edfd4ea4c33
vocab.json3.38 MB87a257b04b17642a0688c98cd1df89c398bda4fee532d6f88b38a659ecb4ac8d
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
7ccf6e40ff pinned now2026-11-15 03:35 UTC18 files · 16.6 GB

Use it

$ fw get xlangai/Jedi-7B-1080p
# manifest sha256 bbf21bd1b4a9… · 16.6 GB · 18 files
$ fw verify ./Jedi-7B-1080p xlangai/Jedi-7B-1080p
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/xlangai/Jedi-7B-1080p.json --dir ./Jedi-7B-1080p $ python3 fw.py verify ./Jedi-7B-1080p ./xlangai__Jedi-7B-1080p.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download xlangai/Jedi-7B-1080p --revision 7ccf6e40ff79d4b9121c69269fb7f199ff57fb52 --local-dir ./Jedi-7B-1080p
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForImageTextToText, AutoProcessor processor = AutoProcessor.from_pretrained("xlangai/Jedi-7B-1080p", revision="7ccf6e40ff79d4b9121c69269fb7f199ff57fb52") model = AutoModelForImageTextToText.from_pretrained("xlangai/Jedi-7B-1080p", revision="7ccf6e40ff79d4b9121c69269fb7f199ff57fb52", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve xlangai/Jedi-7B-1080p --revision 7ccf6e40ff79d4b9121c69269fb7f199ff57fb52
Run at home

License

Name
Apache License 2.0
Id
Apache-2.0
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
22847578e2ff95cfddb7a173e689ff9549d64a9673061cd4ea72ec66bc341cbb
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: xlangai <huggingface.co/xlangai>Newsgroups: alt.freeweights.textSubject: Jedi-7B-1080pDate: 2026-11-15Commit: 7ccf6e4Signed: 2DC28CC7B26A283B ✓
Upstream
xlangai/Jedi-7B-1080p
Pinned commit
7ccf6e40ff79d4b9121c69269fb7f199ff57fb52
Manifest
Jedi-7B-1080p.json · .minisig
Manifest sha256
bbf21bd1b4a939dea5e73d153a694f81ebe63978d5e7a116f639699ef8948902
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:35 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/xlangai/Jedi-7B-1080p.json $ curl -O https://freeweights.allternit.com/manifests/xlangai/Jedi-7B-1080p.json.minisig $ minisign -Vm Jedi-7B-1080p.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

Parent

Qwen/Qwen2.5-VL-7B-Instruct · this model is a finetune of it

1 model in the catalog name this one as their parent.

Quantizations
1
Quantizations 1
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download xlangai/Jedi-7B-1080p
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Jedi-7B-1080p.json. Provenance. Takedown history: none.
Source
huggingface.co/xlangai/Jedi-7B-1080p

Variants

1 quantized or adapter build of Jedi-7B-1080p. Each has its own license check and page.

SubjectSizeParamsLicenseDate
Jedi-7B-1080p-GGUFHosted (signed) From: lmstudio-community in alt.freeweights.text24.5 GB—Permissive2026-11-15

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