CatalogWantedMirrorsLedgerOperating StatementDocsStudio statusCard system
alt.freeweights.text / WebDancer-32B
From: Alibaba-NLP <huggingface.co/Alibaba-NLP>Newsgroups: alt.freeweights.textSubject:

WebDancer-32B

Date: 2026-11-15Commit: 6426e23Signed: 2DC28CC7B26A283B ✓

Text generation model with 32.8B parameters. Safetensors weights, 65.5 GB in all. Published by Alibaba-NLP under MIT.

32.8B params65.5GBWebDancer-32Bsafetensorspermissive
FactsParams32.8BSize65.5 GBFormatssafetensorsTasktext generationLicenseMITFrom sourcepermissive
$ fw get Alibaba-NLP/WebDancer-32B
# manifest sha256 f68207543820… · 65.5 GB · 25 files
$ fw verify ./WebDancer-32B Alibaba-NLP/WebDancer-32B
From sourceHosted (signed)Alibaba-NLP/WebDancer-32BLast check: 2026-11-15 03:47 UTC
Run at homeGet help

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

Fine-tune of QwQ-32B.

Works with

Run24Fine-tune29Convert15Evaluate13Scan13Apps58
OverviewModel cardFilesUse itLicenseProvenanceModel tree

Overview

Size
65.5 GB
Weights
65.5 GB (safetensors)
Parameters
32.8B
Formats
safetensors
Task
text generation
License
MIT (permissive)
Files
25, each with a sha256
Publisher
Alibaba-NLP
Added
2026-11-15
Section
alt.freeweights.text
Lineage

Original release from the publisher.

Base model: Qwen/QwQ-32B

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 03:47 UTCpassed

Model card

From the publisher at commit 6426e23. Shown as plain text with links; images open at the publisher.

This model was presented in the paper WebDancer: Towards Autonomous Information Seeking Agency.

You can download the model then run the inference scipts in https://github.com/Alibaba-NLP/WebAgent.

  • Native agentic search reasoning model using ReAct framework towards autonomous information seeking agency and Deep Research-like model.
  • We introduce a four-stage training paradigm comprising browsing data construction, trajectory sampling, supervised fine-tuning for effective cold start, and reinforcement learning for improved generalization, enabling the agent to autonomously acquire autonomous search and reasoning skills.
  • Our data-centric approach integrates trajectory-level supervision fine-tuning and reinforcement learning (DAPO) to develop a scalable pipeline for training agentic systems via SFT or RL.
  • WebDancer achieves a Pass@3 score of 61.1% on GAIA and 54.6% on WebWalkerQA.

Files

25 files · 65.5 GBWeights 65.5 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 25 files with their sha256
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md1.05 KB01bbd117af5712bee823581b7ec79568f5ee5a0579599a73c974e0e597f1aab8
added_tokens.json707 Bc0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
config.json687 Bd41c2514e5c5dcacce8a5c59ef0e342cea6333e376754dbce65ff88de965f649
generation_config.json214 B4547c788714f960d04727c37c2f12085b831a1fe8a3ea95b6c17676b5a2b0aaf
merges.txt1.67 MB8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
model-00001-of-00014.safetensors4.89 GB3d2dde2cf55c69cda8eee3a9db401a0a184f6f4d6b91a53ee5db7e4c9d82e860
model-00002-of-00014.safetensors4.88 GB513cc30874e6fc80397b4b492f28131ac555805829569b47803a6ff500ee7509
model-00003-of-00014.safetensors4.88 GB386f82c6cf86c9be3619c2d1afbc0269f67f7fa1d7b03584de9ba008fd74533b
model-00004-of-00014.safetensors4.88 GB1ba37fb940c801c3195072f85b230a55554782baa966a1ac20d191915730de97
model-00005-of-00014.safetensors4.88 GB21edbc17c54f06d5a67357e89b33dbed001a903b325834bdd473f97529135285
model-00006-of-00014.safetensors4.88 GB5166839a608d311402713234ce20ca530ff73be8a21fd6b8e447e395544a6929
model-00007-of-00014.safetensors4.88 GB609b1060659c1ed45258d332347ef997db8f321aa921312713f28772888d51ca
model-00008-of-00014.safetensors4.88 GB4be6f79329cad3f327d5f06c7eee182fe88800cc0c9da9fb158cba324d7176ff
model-00009-of-00014.safetensors4.88 GBefd19d047a087b6d8566fcdb04fd0ba0a760ec1bc898bcd9e689ba41a416b956
model-00010-of-00014.safetensors4.88 GB2646f7f0f9f1a69d20af1caec868b3d09427569866a92c4fd29423dc77b371c0
model-00011-of-00014.safetensors4.88 GBb585069c41de4cebbf9a5c5f2ccea796abf9051e7156780ffcf8599852eea715
model-00012-of-00014.safetensors4.88 GB9351f4be814c811c5dcd3b4481f9a1b00fe7a24542feb7faf8f23759f8139475
model-00013-of-00014.safetensors4.88 GB3e89f968c115bdebaef029d8ea7e6437b4e663ca74d129a5552cee323380f219
model-00014-of-00014.safetensors2.12 GBc37d9f6ee10ebca6cb2c52539c8ed9f3c561f1600eb7f8d922715850502d66a5
model.safetensors.index.json63.2 KBe6548816f7ae8cd9fc353a20737f640ad32db6eff13a8c097246084c3207300f
special_tokens_map.json613 B76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
tokenizer.json11.4 MBaeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
tokenizer_config.json8.35 KBedc683701741644ee9f9ed17ad3af139e0dbf88e1d5f67b19b0bada4ed73f46b
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
6426e232d3 pinned now2026-11-15 03:47 UTC25 files · 65.5 GB

Use it

$ fw get Alibaba-NLP/WebDancer-32B
# manifest sha256 f68207543820… · 65.5 GB · 25 files
$ fw verify ./WebDancer-32B Alibaba-NLP/WebDancer-32B
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/Alibaba-NLP/WebDancer-32B.json --dir ./WebDancer-32B $ python3 fw.py verify ./WebDancer-32B ./Alibaba-NLP__WebDancer-32B.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Alibaba-NLP/WebDancer-32B --revision 6426e232d3837ba438676cc8f22de2d9b637f1e3 --local-dir ./WebDancer-32B
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("Alibaba-NLP/WebDancer-32B", revision="6426e232d3837ba438676cc8f22de2d9b637f1e3") model = AutoModelForCausalLM.from_pretrained("Alibaba-NLP/WebDancer-32B", revision="6426e232d3837ba438676cc8f22de2d9b637f1e3", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve Alibaba-NLP/WebDancer-32B --revision 6426e232d3837ba438676cc8f22de2d9b637f1e3
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
01bbd117af5712bee823581b7ec79568f5ee5a0579599a73c974e0e597f1aab8
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: Alibaba-NLP <huggingface.co/Alibaba-NLP>Newsgroups: alt.freeweights.textSubject: WebDancer-32BDate: 2026-11-15Commit: 6426e23Signed: 2DC28CC7B26A283B ✓
Upstream
Alibaba-NLP/WebDancer-32B
Pinned commit
6426e232d3837ba438676cc8f22de2d9b637f1e3
Manifest
WebDancer-32B.json · .minisig
Manifest sha256
f6820754382027de7c605225541416e4abeaf26938fd59feacd347e240ee1faa
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:47 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/Alibaba-NLP/WebDancer-32B.json $ curl -O https://freeweights.allternit.com/manifests/Alibaba-NLP/WebDancer-32B.json.minisig $ minisign -Vm WebDancer-32B.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/QwQ-32B · this model is a finetune of it

No model in the catalog names this one as its parent.

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Alibaba-NLP/WebDancer-32B
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. WebDancer-32B.json. Provenance. Takedown history: none.
Source
huggingface.co/Alibaba-NLP/WebDancer-32B

Related models

All of alt.freeweights.text →
From: laion <huggingface.co/laion>Subject: a2-rl-e2egit_large-50-32B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_e2egit-v2-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_pymethods2test-large-80-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_exp_rpt_unitsyn-python-large-10-8B
From: laion <huggingface.co/laion>Subject: a3-rl-DCAgent_mix_h2_language_proportional-65-8B