alt.freeweights.glm / GLM-4.5-Air
From: zai-org <huggingface.co/zai-org>Newsgroups: alt.freeweights.glmSubject:

GLM-4.5-Air

Date: 2026-11-14Commit: a24ceefSigned: 2DC28CC7B26A283B ✓

Text generation model with 110.5B parameters. Safetensors weights, 221 GB in all. Published by zai-org under MIT.

110.5B params221GBGLM-4.5-Airsafetensorspermissive
FactsParams110.5BSize221 GBFormatssafetensorsTasktext generationLicenseMITFrom sourcepermissive
$ fw get zai-org/GLM-4.5-Air
# manifest sha256 5397dae2008c… · 221 GB · 55 files
$ fw verify ./GLM-4.5-Air zai-org/GLM-4.5-Air
From sourceHosted (signed)zai-org/GLM-4.5-AirLast check: 2026-11-14 21:25 UTC

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

Works with

Overview

Size
221 GB
Weights
221 GB (safetensors)
Parameters
110.5B
Formats
safetensors
Task
text generation
License
MIT (permissive)
Files
55, each with a sha256
Publisher
zai-org
Added
2026-11-14
Section
alt.freeweights.glm
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commitโ†’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.co2026-11-14 21:25 UTCpassed

Model card

From the publisher at commit a24ceef. Shown as plain text with links; images open at the publisher.

GLM-4.5-Air#

Image: image

๐Ÿ‘‹ Join our Discord community.

๐Ÿ“– Check out the GLM-4.5 technical blog, technical report, and Zhipu AI technical documentation.

๐Ÿ“ Use GLM-4.5 API services on Z.ai API Platform (Global) or Zhipu AI Open Platform (Mainland China).

๐Ÿ‘‰ One click to GLM-4.5.

Model Introduction#

The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total parameters and 12 billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.

Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.

We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.

As demonstrated in our comprehensive evaluation across 12 industry-standard benchmarks, GLM-4.5 achieves exceptional performance with a score of 63.2, in the 3rd place among all the proprietary and open-source models. Notably, GLM-4.5-Air delivers competitive results at 59.8 while maintaining superior efficiency.

Image: bench

For more eval results, show cases, and technical details, please visit our technical blog or technical report.

The model code, tool parser and reasoning parser can be found in the implementation of transformers, vLLM and SGLang.

Quick Start#

Please refer our github page for more detail.

Files

55 files ยท 221 GBWeights 221 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 55 files with their sha256
FileSizesha256
.gitattributes1.57 KB34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930
README.md3.00 KBfdcdf454bbb54db5cf1a1dd83152feb6555c4962678cae5c7658bf9cd0261e8b
chat_template.jinja3.24 KB44f815868bf02fa458dd2f741a338046f4bf45f398eb6d067766726b9d96cce3
config.json1.01 KBe59f21d7be4b4b917d80bb3a2d1211356d29cf3aeff93372523daf7d0ffb839d
generation_config.json155 B06ac18cb0e733da062bdb1d260247d52b1f6c4b10785fc733402f22a510da05d
model-00001-of-00047.safetensors2.97 GBbf40ee4cfb4064cc3bdebddc5eb84808815b3908ad40611e1825e7f8d8bd56f2
model-00002-of-00047.safetensors4.68 GB5df5534eec7264f9a87204715bb81d5bfd55849e1fd0fa0af118e2e0ca67d01f
model-00003-of-00047.safetensors4.68 GBe621684a989e629eb35c884da0c8961c245b157758bb950c8f36a789689b3603
model-00004-of-00047.safetensors4.68 GB1d2e2d1028484c15add591acf12e393a492f1adcfae16a09413fdb0d14cd3c7d
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model-00024-of-00047.safetensors4.68 GBb4f5ea9831d1d791a09b67ae1907b9d04a4aec7891e3a06b2061faf46c111fe3
model-00025-of-00047.safetensors4.68 GBd0c5f160a451b604603bca502c98d53b2de85526afbd86340d0376ea4f20b2c7
model-00026-of-00047.safetensors4.68 GB3e024ae4836ab68412f7aba85708ca84c6d7d6494792d15711505278b2431af9
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model-00030-of-00047.safetensors4.68 GB6b8c1d982a8613050cbbb4bccee9b3b9fed114b5c4bdc3caacd2406bffbadd12
model-00031-of-00047.safetensors4.68 GB665ec1bd1bed6820aa2d09ba82d583a9ef304f64b9b9cdac30caaac8792023c5
model-00032-of-00047.safetensors4.68 GB6dc765c6d5d2265a4f5cab5ea78d8770d4b666c8df78dd240a4c0ee3f54ee8f6
model-00033-of-00047.safetensors4.68 GBb9044129e80741207d2156f93f0f6e736455c404772d371abe3d2895df72bf2c
model-00034-of-00047.safetensors4.68 GB2588930866ddef08c7e310df044deb0e2ae0ae4ada5a80319fc87b60e9e33914
model-00035-of-00047.safetensors4.68 GB85a67bf4c828c51601ae5a54ecbc030e6e4eb89ff5e29361797b764f3778008b
model-00036-of-00047.safetensors4.68 GB398234ceda03cf27e800c659df7086c3377c0a86df621c0773cd11d800204a28
model-00037-of-00047.safetensors4.68 GB8fb25fbfe67387390e13c58a5e712b5f7f83c3922dda426b26c5c9be1fe4f01c
model-00038-of-00047.safetensors4.68 GBda9eb496ce1fee40dd02fdc8491515270c839730b7562fc8c593a45560e97efe
model-00039-of-00047.safetensors4.68 GBc51db4b6e32fcd495c37ea7e6874ad71a176bd8d593500664dbe57522181e21b
model-00040-of-00047.safetensors4.68 GB8ab61c5a5dd731ec385f0fe8b9a00c14ab21aaf1de7f0ef3097e6b4920bde347
model-00041-of-00047.safetensors4.68 GB2ebee4e911c738b3cfdd77540553413267d7ab646e34e223dec5daf7334324ef
model-00042-of-00047.safetensors4.68 GBbccab153b1b90f1f510b45ac3c8524772d67c21e349a4303197a794b85b5d248
model-00043-of-00047.safetensors4.68 GB5a958b0b38d2a7c9e6a89b3123aa341eadf6ed6f730c0395b75d08f2bedb07b4
model-00044-of-00047.safetensors4.68 GB345a64163ebfbd5aa119e8618afcfa5a07e1442deeb6776ee93c70c8d136c185
model-00045-of-00047.safetensors4.68 GB13a9eef0444c4d25401c8e7008cc693a0a8a3eb2ae2a15620a76ef7f2a2a235a
model-00046-of-00047.safetensors7.17 GB97c099f9895348a318b2477156a18bd6fceeecdcbab817a2b3a69a0f28579e08
model-00047-of-00047.safetensors4.75 GBfd077dc9b9e37b276df529f84227c59c3477f03c53b2538f2bccb2c9806e7c96
model.safetensors.index.json1.65 MB0c18a393dd882583f840b3306cb6f8104355a871680cfe88911ff78bd9ba530c
tokenizer.json20.0 MB9340665016419c825c4bdabbcc9acc43b7ca2c68ce142724afa829abb1be5efd
tokenizer_config.json7.31 KB27d01309c0ae7b5edb6511daabfcbf772b60e21c65cbb74d059acc76796f7897
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
a24ceef6ce pinned now manifest updated, same commit2026-11-14 21:25 UTC55 files ยท 221 GB
a24ceef6ce2026-11-14 21:25 UTC55 files ยท 221 GB

Use it

$ fw get zai-org/GLM-4.5-Air
# manifest sha256 5397dae2008c… · 221 GB · 55 files
$ fw verify ./GLM-4.5-Air zai-org/GLM-4.5-Air
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-4.5-Air.json --dir ./GLM-4.5-Air $ python3 fw.py verify ./GLM-4.5-Air ./zai-org__GLM-4.5-Air.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-4.5-Air --revision a24ceef6ce4f3536971efe9b778bdaa1bab18daa --local-dir ./GLM-4.5-Air
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-4.5-Air", revision="a24ceef6ce4f3536971efe9b778bdaa1bab18daa") model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.5-Air", revision="a24ceef6ce4f3536971efe9b778bdaa1bab18daa", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve zai-org/GLM-4.5-Air --revision a24ceef6ce4f3536971efe9b778bdaa1bab18daa

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
README.md
Text sha256
fdcdf454bbb54db5cf1a1dd83152feb6555c4962678cae5c7658bf9cd0261e8b
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-4.5-AirDate: 2026-11-14Commit: a24ceefSigned: 2DC28CC7B26A283B ✓
Upstream
zai-org/GLM-4.5-Air
Pinned commit
a24ceef6ce4f3536971efe9b778bdaa1bab18daa
Manifest
GLM-4.5-Air.json ยท .minisig
Manifest sha256
5397dae2008c3effdce1080597fba180ae90973008599ca23a5dc610a71d3e35
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:25 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/zai-org/GLM-4.5-Air.json $ curl -O https://freeweights.allternit.com/manifests/zai-org/GLM-4.5-Air.json.minisig $ minisign -Vm GLM-4.5-Air.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

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

Quantizations
10
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-4.5-Air
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. GLM-4.5-Air.json. Provenance. Takedown history: none.

Variants

10 quantized or adapter builds of GLM-4.5-Air. 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