alt.freeweights.qwen / QwQ-32B-Preview
From: Qwen <huggingface.co/Qwen>Newsgroups: alt.freeweights.qwenSubject:

QwQ-32B-Preview

Date: 2026-11-15Commit: 91906feSigned: 2DC28CC7B26A283B ✓

Text generation model with 32.8B parameters. Safetensors weights, 65.5 GB in all. Published by Qwen under Apache-2.0.

32.8B params65.5GBQwQ-32B-Previewsafetensorspermissive
FactsParams32.8BSize65.5 GBFormatssafetensorsTasktext generationLicenseApache-2.0From sourcepermissive
$ fw get Qwen/QwQ-32B-Preview
# manifest sha256 0131351ac2c7… · 65.5 GB · 27 files
$ fw verify ./QwQ-32B-Preview Qwen/QwQ-32B-Preview
From sourceHosted (signed)Qwen/QwQ-32B-PreviewLast check: 2026-11-15 02:45 UTC

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

Fine-tune of Qwen2.5-32B-Instruct.

Works with

Overview

Size
65.5 GB
Weights
65.5 GB (safetensors)
Parameters
32.8B
Formats
safetensors
Task
text generation
License
Apache-2.0 (permissive)
Files
27, each with a sha256
Publisher
Qwen
Added
2026-11-15
Section
alt.freeweights.qwen
Lineage

Original release from the publisher.

Base model: Qwen/Qwen2.5-32B-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 02:45 UTCpassed

Model card

From the publisher at commit 91906fe. Shown as plain text with links; images open at the publisher.

QwQ-32B-Preview#

Chat

Introduction#

QwQ-32B-Preview is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations:

  1. Language Mixing and Code-Switching: The model may mix languages or switch between them unexpectedly, affecting response clarity.
  2. Recursive Reasoning Loops: The model may enter circular reasoning patterns, leading to lengthy responses without a conclusive answer.
  3. Safety and Ethical Considerations: The model requires enhanced safety measures to ensure reliable and secure performance, and users should exercise caution when deploying it.
  4. Performance and Benchmark Limitations: The model excels in math and coding but has room for improvement in other areas, such as common sense reasoning and nuanced language understanding.

Specification:

  • Type: Causal Language Models
  • Training Stage: Pretraining & Post-training
  • Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
  • Number of Parameters: 32.5B
  • Number of Paramaters (Non-Embedding): 31.0B
  • Number of Layers: 64
  • Number of Attention Heads (GQA): 40 for Q and 8 for KV
  • Context Length: Full 32,768 tokens

For more details, please refer to our blog. You can also check Qwen2.5 GitHub, and Documentation.

Requirements#

The code of Qwen2.5 has been in the latest Hugging face transformers and we advise you to use the latest version of transformers.

With transformers<4.37.0, you will encounter the following error:

KeyError: 'qwen2'

Quickstart#

Here provides a code snippet with apply_chat_template to show you how to load the tokenizer and model and how to generate contents.

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "Qwen/QwQ-32B-Preview"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

prompt = "How many r in strawberry."
messages = [
    {"role": "system", "content": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step."},
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=512
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]

Citation#

If you find our work helpful, feel free to give us a cite.

@misc{qwq-32b-preview,
    title = {QwQ: Reflect Deeply on the Boundaries of the Unknown},
    url = {https://qwenlm.github.io/blog/qwq-32b-preview/},
    author = {Qwen Team},
    month = {November},
    year = {2024}
}

@article{qwen2,
      title={Qwen2 Technical Report}, 
      author={An Yang and Baosong Yang and Binyuan Hui and Bo Zheng and Bowen Yu and Chang Zhou and Chengpeng Li and Chengyuan Li and Dayiheng Liu and Fei Huang and Guanting Dong and Haoran Wei and Huan Lin and Jialong Tang and Jialin Wang and Jian Yang and Jianhong Tu and Jianwei Zhang and Jianxin Ma and Jin Xu and Jingren Zhou and Jinze Bai and Jinzheng He and Junyang Lin and Kai Dang and Keming Lu and Keqin Chen and Kexin Yang and Mei Li and Mingfeng Xue and Na Ni and Pei Zhang and Peng Wang and Ru Peng and Rui Men and Ruize Gao and Runji Lin and Shijie Wang and Shuai Bai and Sinan Tan and Tianhang Zhu and Tianhao Li and Tianyu Liu and Wenbin Ge and Xiaodong Deng and Xiaohuan Zhou and Xingzhang Ren and Xinyu Zhang and Xipin Wei and Xuancheng Ren and Yang Fan and Yang Yao and Yichang Zhang and Yu Wan and Yunfei Chu and Yuqiong Liu and Zeyu Cui and Zhenru Zhang and Zhihao Fan},
      journal={arXiv preprint arXiv:2407.10671},
      year={2024}
}

Files

27 files · 65.5 GBWeights 65.5 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 27 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
LICENSE11.3 KB832dd9e00a68dd83b3c3fb9f5588dad7dcf337a0db50f7d9483f310cd292e92e
README.md4.65 KB4794178594c7953de8e8cff1f5627287ece777b9490de671d5e9126938f29fd6
config.json662 Bdbdf0b45cb852d6647154ed63b6fb26a70061c1a16246315a55614d524e6e500
generation_config.json241 B1b16432271c5bc92e6e94a9f4223a94ac0d64add2f6154d8587f2616668c7b26
merges.txt1.67 MB599bab54075088774b1733fde865d5bd747cbcc7a547c5bc12610e874e26f5e3
model-00001-of-00017.safetensors3.92 GBffebcb560a500f1984a7c694891a1354075ff7b7bb37e54b37c8b7d4e6e79d93
model-00002-of-00017.safetensors3.90 GB5fa514bd1e90deb61c31efd64a9cf4a0375976c4c7cd996856c2d03b39664cd9
model-00003-of-00017.safetensors3.90 GB9b651617538311cd1ba0919e3ab44b9e9373a523c89a30037942453f086b3952
model-00004-of-00017.safetensors3.90 GBc1ad1cce832f86a2f63e59a080dc23548ddc31c68fc366d2b65048275fd92d74
model-00005-of-00017.safetensors3.90 GBe0607b8dce4427d0310f06f9d853c50f0e00f2a3d4c020671187c499f7b795da
model-00006-of-00017.safetensors3.90 GB8d660bc6659c2f9672c52bbc28e88178c3eb55955fae8e5bc26563dca4fa8ffe
model-00007-of-00017.safetensors3.90 GB2dd54b23fe25c130ab6e407ade936382269fc177486475ea0de1132115542135
model-00008-of-00017.safetensors3.90 GB81a100df124c214b152de6471a361015a8e03c2597f21e1471935d7365ed71a1
model-00009-of-00017.safetensors3.90 GBa44110afb3ccce512e7c57c7c470240d3560c5dbf6939f2bcc6a8b0f96342fb7
model-00010-of-00017.safetensors3.90 GBb50e2e937ae348f0eb3169d03020e1c9e6af9e163c7299d600104bf4e2a49a3f
model-00011-of-00017.safetensors3.90 GB8d915709803ae8717087e8bf7596ed10ef76e6943bc117148d46c2eb76d3dde4
model-00012-of-00017.safetensors3.90 GB6487a04f25e7d6336c5de8f800337b31f060c11db9b042d4dd3becb86b0bfefa
model-00013-of-00017.safetensors3.90 GB123f52ba88a34a4832e59b5f428769eca4cb6495c6247e9e1d3cd86306a7db6a
model-00014-of-00017.safetensors3.90 GBa7e78d641e1164bd128d8f2b8d11f38bc3a985a774717db75b900f9a2596252b
model-00015-of-00017.safetensors3.90 GB170c30e3b020706e2ebd1fc9891256c9ca5859776542818a3e17efb5e979d4b8
model-00016-of-00017.safetensors3.90 GB608fb9e35c12d2ce31bacc69a0c8175cb0c9582126cd6ab412f72ebfcf49b5f8
model-00017-of-00017.safetensors3.10 GB3cc27c57a539b24b7c57b20553ad95c9a4582b086f9f3e7105445a126388cf13
model.safetensors.index.json63.2 KB0183543f2e6e40d3d1e863ed0b2a8c9cdaf2ee4045ce724a45cea30e9995a0af
tokenizer.json7.03 MBc0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539
tokenizer_config.json7.38 KBe72d6a130b80489c628c4d9c4b238fa0b9b662efed9d2babfb6dfd62412e181c
vocab.json2.78 MBca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
91906fe41a pinned now2026-11-15 02:45 UTC27 files · 65.5 GB

Use it

$ fw get Qwen/QwQ-32B-Preview
# manifest sha256 0131351ac2c7… · 65.5 GB · 27 files
$ fw verify ./QwQ-32B-Preview Qwen/QwQ-32B-Preview
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/Qwen/QwQ-32B-Preview.json --dir ./QwQ-32B-Preview $ python3 fw.py verify ./QwQ-32B-Preview ./Qwen__QwQ-32B-Preview.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Qwen/QwQ-32B-Preview --revision 91906fe41a48b6a89ce2970abfd1269eefee170e --local-dir ./QwQ-32B-Preview
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("Qwen/QwQ-32B-Preview", revision="91906fe41a48b6a89ce2970abfd1269eefee170e") model = AutoModelForCausalLM.from_pretrained("Qwen/QwQ-32B-Preview", revision="91906fe41a48b6a89ce2970abfd1269eefee170e", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve Qwen/QwQ-32B-Preview --revision 91906fe41a48b6a89ce2970abfd1269eefee170e

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
LICENSE
Text sha256
832dd9e00a68dd83b3c3fb9f5588dad7dcf337a0db50f7d9483f310cd292e92e
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: Qwen <huggingface.co/Qwen>Newsgroups: alt.freeweights.qwenSubject: QwQ-32B-PreviewDate: 2026-11-15Commit: 91906feSigned: 2DC28CC7B26A283B ✓
Upstream
Qwen/QwQ-32B-Preview
Pinned commit
91906fe41a48b6a89ce2970abfd1269eefee170e
Manifest
QwQ-32B-Preview.json · .minisig
Manifest sha256
0131351ac2c76225dfd859a4aa7bb3f75f6b4767abe86aa068359cfdc519def3
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 02:45 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/Qwen/QwQ-32B-Preview.json $ curl -O https://freeweights.allternit.com/manifests/Qwen/QwQ-32B-Preview.json.minisig $ minisign -Vm QwQ-32B-Preview.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/Qwen2.5-32B-Instruct · this model is a finetune of it

5 models in the catalog name this one as their parent.

Quantizations
5
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Qwen/QwQ-32B-Preview
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. QwQ-32B-Preview.json. Provenance. Takedown history: none.

Variants

5 quantized or adapter builds of QwQ-32B-Preview. Each has its own license check and page.

From: BAAI <huggingface.co/BAAI>Subject: Aquila-VL-2B-llava-qwen
From: Perciqa <huggingface.co/Perciqa>Subject: Aurora-Code-1
From: BAAI <huggingface.co/BAAI>Subject: bge-reasoner-embed-qwen3-8b-0923
From: amazon <huggingface.co/amazon>Subject: BMOJOF-primed-HQwen3-8B-Instruct
From: nbeerbower <huggingface.co/nbeerbower>Subject: Bubba-Qwen3.6-27B-LoRA
From: bartowski <huggingface.co/bartowski>Subject: bytkim_Qwen3.8-27B-pi-GGUF