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

GLM-4.5-Base

Date: 2026-11-14Commit: 922a0ceSigned: 2DC28CC7B26A283B ✓

Text generation model with 358.3B parameters. Safetensors weights, 717 GB in all. Published by zai-org under MIT.

358.3B params717GBGLM-4.5-Basesafetensorspermissive
FactsParams358.3BSize717 GBFormatssafetensorsTasktext generationLicenseMITFrom sourcepermissive
$ fw get zai-org/GLM-4.5-Base
# manifest sha256 a51dd315406c… · 717 GB · 140 files
$ fw verify ./GLM-4.5-Base zai-org/GLM-4.5-Base
From sourceHosted (signed)zai-org/GLM-4.5-BaseLast 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
717 GB
Weights
717 GB (safetensors)
Parameters
358.3B
Formats
safetensors
Task
text generation
License
MIT (permissive)
Files
140, 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

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From sourcehuggingface.co2026-11-14 21:26 UTCpassed

Model card

From the publisher at commit 922a0ce. Shown as plain text with links; images open at the publisher.

GLM-4.5-Base#

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. The technical report will be released soon.

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

Quick Start#

Note: This is a base model, not for chat.

Please refer to our github page for more details.

Files

140 files ยท 717 GBWeights 717 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 140 files with their sha256
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model-00119-of-00134.safetensors5.35 GB3f83147682e1a5fe404418b8793194df73bb665d342c007bc616ae0b8b9e8a43
model-00120-of-00134.safetensors5.35 GBeb9dd3d90ffd903c0e527837246f09e3581eda8216e057645e65be1c1c95ea78
model-00121-of-00134.safetensors5.36 GBfff02ace6d16d9a5c96f7da2c22aaa77bfd8c43b0d7145e2fb6e0d60607b85f6
model-00122-of-00134.safetensors5.35 GB7358b404c5a1ec5097d45bd037c945b6985766b05fb4b19a13cb5b31df7ae266
model-00123-of-00134.safetensors5.35 GBb5d3a3bf32127e7b0433cdef4576a7e97110f42d7bb25bac10288a62b8e29d61
model-00124-of-00134.safetensors5.36 GB8211c302bc9d96b9028606de8202f938200c5f187a9081122ecd06f5aa533dce
model-00125-of-00134.safetensors5.35 GB50ac6801b6d06ccaa93a9ede7c90177a51bb25ac42014427a3726d1373115789
model-00126-of-00134.safetensors5.35 GB23ba4c2526c9b99d2c793a9b24ec1524f3966b9d0741db1947786ea33a575123
model-00127-of-00134.safetensors5.36 GBfcca2dd67bd49c098e5b81f7681a8eebeac219bf542eeeceedbc3e802f105524
model-00128-of-00134.safetensors5.35 GB571fe1687ce3925e231ab9254793d82841616da9389fca8826ad36453476c2dc
model-00129-of-00134.safetensors5.35 GB5aa1eef1bd9f110e2cd29dc7e7ae1abe8b172056361598618656f23631bd8ce1
model-00130-of-00134.safetensors5.36 GB9da1fbe2c43151ce7b4cebb74de14989b6ca9471ca63c2cc001bc68c367aae45
model-00131-of-00134.safetensors5.37 GB689da0d1d594bbe00f209ccf8b541df170917707c2a0e954a6317c7b6ab54592
model-00132-of-00134.safetensors5.25 GBfeb7f2aa8d143d96b9d2ae7af08be994caf76efa0943d3451d3f8dc8e944bad9
model-00133-of-00134.safetensors5.36 GBc67ffd06eb8ba03aea5354e9bd0d9f77f2e4ffa2fc2c898ba9c1c1f619c8af06
model-00134-of-00134.safetensors4.30 GBb07f8a97a80c8001e75d56404b93a6246a1d985841bda1e014b8e7a4ab7aa1bc
model.safetensors.index.json4.04 MB701614c8de7cba69c7b2560169a3de260581f7f73f83634718563fbd26b8fd61
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
922a0cee7f pinned now manifest updated, same commit2026-11-14 21:26 UTC140 files ยท 717 GB
922a0cee7f2026-11-14 21:26 UTC140 files ยท 717 GB

Use it

$ fw get zai-org/GLM-4.5-Base
# manifest sha256 a51dd315406c… · 717 GB · 140 files
$ fw verify ./GLM-4.5-Base zai-org/GLM-4.5-Base
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-Base.json --dir ./GLM-4.5-Base $ python3 fw.py verify ./GLM-4.5-Base ./zai-org__GLM-4.5-Base.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-4.5-Base --revision 922a0cee7f137cf3b64c186f0bee77882e4a4e80 --local-dir ./GLM-4.5-Base
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-Base", revision="922a0cee7f137cf3b64c186f0bee77882e4a4e80") model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.5-Base", revision="922a0cee7f137cf3b64c186f0bee77882e4a4e80", device_map="auto")
vLLMServe an OpenAI-compatible API.
$ HF_ENDPOINT=https://freeweights.allternit.com vllm serve zai-org/GLM-4.5-Base --revision 922a0cee7f137cf3b64c186f0bee77882e4a4e80

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
3fef3f4f4a949e2265dc6e1aa6987cc7813dca59863177e93c5b1fb51034bb54
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-BaseDate: 2026-11-14Commit: 922a0ceSigned: 2DC28CC7B26A283B ✓
Upstream
zai-org/GLM-4.5-Base
Pinned commit
922a0cee7f137cf3b64c186f0bee77882e4a4e80
Manifest
GLM-4.5-Base.json ยท .minisig
Manifest sha256
a51dd315406c99e88a7f8a4d88c2d398da27ff317778615336f48eb67b11e13e
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-4.5-Base.json $ curl -O https://freeweights.allternit.com/manifests/zai-org/GLM-4.5-Base.json.minisig $ minisign -Vm GLM-4.5-Base.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

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download zai-org/GLM-4.5-Base
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-Base.json. Provenance. Takedown history: none.
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