From: zai-org <huggingface.co/zai-org>Newsgroups: alt.freeweights.glmSubject:

GLM-5.1

Date: 2026-11-14Commit: 26e1bd6Signed: 2DC28CC7B26A283B ✓

Text generation model with 753.9B parameters. Safetensors weights, 1.51 TB in all. Published by zai-org under MIT.

753.9B params1.51TBGLM-5.1safetensorspermissive
FactsParams753.9BSize1.51 TBFormatssafetensorsTasktext generationLicenseMITFrom sourcepermissive
$ fw get zai-org/GLM-5.1
# manifest sha256 b94d3a899162… · 1.51 TB · 300 files
$ fw verify ./GLM-5.1 zai-org/GLM-5.1
From sourceHosted (signed)zai-org/GLM-5.1Last check: 2026-11-14 21:26 UTC

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

Works with

Overview

Size
1.51 TB
Weights
1.51 TB (safetensors)
Parameters
753.9B
Formats
safetensors
Task
text generation
License
MIT (permissive)
Files
300, each with a sha256
Publisher
zai-org
Added
2026-11-14
Section
alt.freeweights.glm
Lineage

Original release from the publisher.

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Model card

From the publisher at commit 26e1bd6. Shown as plain text with links; images open at the publisher.

GLM-5.1#

Image: image

👋 Join our WeChat or Discord community.

📖 Check out the GLM-5.1 blog and GLM-5 Technical report.

📍 Use GLM-5.1 API services on Z.ai API Platform.

🔜 GLM-5.1 will be available on chat.z.ai in the coming days.

[Paper] [GitHub]

Introduction#

GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor. It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin on NL2Repo (repo generation) and Terminal-Bench 2.0 (real-world terminal tasks).

Image: bench_51

But the most meaningful leap goes beyond first-pass performance. Previous models—including GLM-5—tend to exhaust their repertoire early: they apply familiar techniques for quick initial gains, then plateau. Giving them more time doesn't help.

GLM-5.1, by contrast, is built to stay effective on agentic tasks over much longer horizons. We've found that the model handles ambiguous problems with better judgment and stays productive over longer sessions. It breaks complex problems down, runs experiments, reads results, and identifies blockers with real precision. By revisiting its reasoning and revising its strategy through repeated iteration, GLM-5.1 sustains optimization over hundreds of rounds and thousands of tool calls. The longer it runs, the better the result.

Benchmark#

GLM-5.1GLM-5Qwen3.6-PlusMinimax M2.7DeepSeek-V3.2Kimi K2.5Claude Opus 4.6Gemini 3.1 ProGPT-5.4
HLE31.030.528.828.025.131.536.745.039.8
HLE (w/ Tools)52.350.450.6-40.851.853.1*51.4*52.1*
AIME 202695.395.495.189.895.194.595.698.298.7
HMMT Nov. 202594.096.994.681.090.291.196.394.895.8
HMMT Feb. 202682.682.887.872.779.981.384.387.391.8
IMOAnswerBench83.882.583.866.378.381.875.381.091.4
GPQA-Diamond86.286.090.487.082.487.691.394.392.0
SWE-Bench Pro58.455.156.656.2-53.857.354.257.7
NL2Repo42.735.937.939.8-32.049.833.441.3
Terminal-Bench 2.0 (Terminus-2)63.556.261.6-39.350.865.468.5-
Terminal-Bench 2.0 (Best self-reported)69.0 (Claude Code)56.2 (Claude Code)-57.0 (Claude Code)46.4 (Claude Code)---75.1 (Codex)
CyberGym68.748.3--17.341.366.638.866.3
BrowseComp68.062.0--51.460.6---
BrowseComp (w/ Context Manage)79.375.9--67.674.984.085.982.7
τ³-Bench70.669.270.767.669.266.072.467.172.9
MCP-Atlas (Public Set)71.869.274.148.862.263.873.869.267.2
Tool-Decathlon40.738.039.846.335.227.847.248.854.6
Vending Bench 2$5,634.41$4,432.12$5,114.87-$1,034.00$1,198.46$8,017.59$911.21$6,144.18

Serve GLM-5.1 Locally#

The following open-source frameworks support local deployment of GLM-5.1:

Citation#

If you find GLM-5.1 or GLM-5 useful in your research, please cite our technical report:

@misc{glm5team2026glm5vibecodingagentic,
      title={GLM-5: from Vibe Coding to Agentic Engineering},
      author={GLM-5-Team and : and Aohan Zeng and Xin Lv and Zhenyu Hou and Zhengxiao Du and Qinkai Zheng and Bin Chen and Da Yin and Chendi Ge and Chenghua Huang and Chengxing Xie and Chenzheng Zhu and Congfeng Yin and Cunxiang Wang and Gengzheng Pan and Hao Zeng and Haoke Zhang and Haoran Wang and Huilong Chen and Jiajie Zhang and Jian Jiao and Jiaqi Guo and Jingsen Wang and Jingzhao Du and Jinzhu Wu and Kedong Wang and Lei Li and Lin Fan and Lucen Zhong and Mingdao Liu and Mingming Zhao and Pengfan Du and Qian Dong and Rui Lu and Shuang-Li and Shulin Cao and Song Liu and Ting Jiang and Xiaodong Chen and Xiaohan Zhang and Xuancheng Huang and Xuezhen Dong and Yabo Xu and Yao Wei and Yifan An and Yilin Niu and Yitong Zhu and Yuanhao Wen and Yukuo Cen and Yushi Bai and Zhongpei Qiao and Zihan Wang and Zikang Wang and Zilin Zhu and Ziqiang Liu and Zixuan Li and Bojie Wang and Bosi Wen and Can Huang and Changpeng Cai and Chao Yu and Chen Li and Chengwei Hu and Chenhui Zhang and Dan Zhang and Daoyan Lin and Dayong Yang and Di Wang and Ding Ai and Erle Zhu and Fangzhou Yi and Feiyu Chen and Guohong Wen and Hailong Sun and Haisha Zhao and Haiyi Hu and Hanchen Zhang and Hanrui Liu and Hanyu Zhang and Hao Peng and Hao Tai and Haobo Zhang and He Liu and Hongwei Wang and Hongxi Yan and Hongyu Ge and Huan Liu and Huanpeng Chu and Jia'ni Zhao and Jiachen Wang and Jiajing Zhao and Jiamin Ren and Jiapeng Wang and Jiaxin Zhang and Jiayi Gui and Jiayue Zhao and Jijie Li and Jing An and Jing Li and Jingwei Yuan and Jinhua Du and Jinxin Liu and Junkai Zhi and Junwen Duan and Kaiyue Zhou and Kangjian Wei and Ke Wang and Keyun Luo and Laiqiang Zhang and Leigang Sha and Liang Xu and Lindong Wu and Lintao Ding and Lu Chen and Minghao Li and Nianyi Lin and Pan Ta and Qiang Zou and Rongjun Song and Ruiqi Yang and Shangqing Tu and Shangtong Yang and Shaoxiang Wu and Shengyan Zhang and Shijie Li and Shuang Li and Shuyi Fan and Wei Qin and Wei Tian and Weining Zhang and Wenbo Yu and Wenjie Liang and Xiang Kuang and Xiangmeng Cheng and Xiangyang Li and Xiaoquan Yan and Xiaowei Hu and Xiaoying Ling and Xing Fan and Xingye Xia and Xinyuan Zhang and Xinze Zhang and Xirui Pan and Xu Zou and Xunkai Zhang and Yadi Liu and Yandong Wu and Yanfu Li and Yidong Wang and Yifan Zhu and Yijun Tan and Yilin Zhou and Yiming Pan and Ying Zhang and Yinpei Su and Yipeng Geng and Yong Yan and Yonglin Tan and Yuean Bi and Yuhan Shen and Yuhao Yang and Yujiang Li and Yunan Liu and Yunqing Wang and Yuntao Li and Yurong Wu and Yutao Zhang and Yuxi Duan and Yuxuan Zhang and Zezhen Liu and Zhengtao Jiang and Zhenhe Yan and Zheyu Zhang and Zhixiang Wei and Zhuo Chen and Zhuoer Feng and Zijun Yao and Ziwei Chai and Ziyuan Wang and Zuzhou Zhang and Bin Xu and Minlie Huang and Hongning Wang and Juanzi Li and Yuxiao Dong and Jie Tang},
      year={2026},
      eprint={2602.15763},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2602.15763},
}

Files

300 files · 1.51 TBWeights 1.51 TB (safetensors). Sizes and sha256 from the signed manifest.
Show all 300 files with their sha256
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VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
26e1bd6e01 pinned now manifest updated, same commit2026-11-14 21:26 UTC300 files · 1.51 TB
26e1bd6e012026-11-14 21:26 UTC300 files · 1.51 TB

Use it

$ fw get zai-org/GLM-5.1
# manifest sha256 b94d3a899162… · 1.51 TB · 300 files
$ fw verify ./GLM-5.1 zai-org/GLM-5.1
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/zai-org/GLM-5.1.json --dir ./GLM-5.1 $ python3 fw.py verify ./GLM-5.1 ./zai-org__GLM-5.1.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-5.1 --revision 26e1bd6e011feb778d25ae34b09b07074139d92d --local-dir ./GLM-5.1
transformersLoad the weights in Python.
import os os.environ["HF_ENDPOINT"] = "https://freeweights.allternit.com" from transformers import AutoModelForCausalLM, AutoTokenizer tok = AutoTokenizer.from_pretrained("zai-org/GLM-5.1", revision="26e1bd6e011feb778d25ae34b09b07074139d92d") model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-5.1", revision="26e1bd6e011feb778d25ae34b09b07074139d92d", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve zai-org/GLM-5.1 --revision 26e1bd6e011feb778d25ae34b09b07074139d92d

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
LICENSE
Text sha256
f4a18c6ae40b0a8e7d2b7667f52f6e1994e54a46430d2e172b73cb8c9b5eb0d7
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: zai-org <huggingface.co/zai-org>Newsgroups: alt.freeweights.glmSubject: GLM-5.1Date: 2026-11-14Commit: 26e1bd6Signed: 2DC28CC7B26A283B ✓
Upstream
zai-org/GLM-5.1
Pinned commit
26e1bd6e011feb778d25ae34b09b07074139d92d
Manifest
GLM-5.1.json · .minisig
Manifest sha256
b94d3a899162a2693428b09608e85000f33b550306d39955baa764dfde0f2046
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:26 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/zai-org/GLM-5.1.json $ curl -O https://freeweights.allternit.com/manifests/zai-org/GLM-5.1.json.minisig $ minisign -Vm GLM-5.1.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

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

Quantizations
2
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-5.1
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. GLM-5.1.json. Provenance. Takedown history: none.

Variants

2 quantized or adapter builds of GLM-5.1. Each has its own license check and page.

From: bartowski <huggingface.co/bartowski>Subject: arcee-ai_GLM-4-32B-Base-32K-GGUF
From: ggml-org <huggingface.co/ggml-org>Subject: AutoGLM-Phone-9B-GGUF
From: zai-org <huggingface.co/zai-org>Subject: cogagent-chat-hf
From: zai-org <huggingface.co/zai-org>Subject: CogView3-Plus-3B
From: zai-org <huggingface.co/zai-org>Subject: cogvlm-base-490-hf
From: laion <huggingface.co/laion>Subject: dev_set_part1_10k_glm_4_7_traces_jupiter