zai-org/GLM-OCR
zai-org/GLM-OCR is a zai-org record on this register. The Hugging Face model API lists the pipeline tag as image-to-text. The safetensors index gives an exact parameter count of 1,325,258,240. Architectural context length (max_position_embeddings) is 131,072. The listed licence is mit. The Hub repository was created on 30 Jan 2026, which is the release date this register uses.
Primary source: the Hugging Face model card for zai-org/GLM-OCR. Fields below come from that card, the Hub model API, and the repository’s own config.json when those files exist. A field we cannot source is omitted rather than guessed.
| Organisation | zai-org |
|---|---|
| ReleasedRepo creation date on Hugging Face | 30 Jan 2026 |
| Last modified | 11 Sept 2026 |
| ParametersExact, from the safetensors index | 1.3B 1,325,258,240 |
| Context lengthmax_position_embeddings — architectural maximum, not necessarily served | 128K 131,072 |
| Licence | mit |
| Pipeline / taskpipeline_tag on the Hugging Face model API | image-to-text |
| File formats | safetensors |
| Librarylibrary_name on the Hugging Face model API | transformers |
| Architecture | glm_ocr |
| Layers | 16 |
| Vocabulary | 59,392 |
| DownloadsAt last check | 1.7m |
| Likes | 2.2k |
| Gated | No |
How to run
Safetensors weights are on the Hugging Face repository. The parameter count on this page came from that index.
The Hugging Face model API lists the library as transformers.
Load it from huggingface.co/zai-org/GLM-OCR. This page does not add install steps that the Hub files do not state.
Agent capabilities
Derived from the model’s own chat template, with the match counts behind each finding.
- ●Tool calling13 matches in template
- ●Reasoning / thinking17 matches in template
- ●System prompt1 match in template
- ●Image input9 matches in template
- ●Video input8 matches in template
- ○Audio inputno evidence in template
Questions this record can answer
- When was GLM-OCR released?
- The Hugging Face repository was created on 30 Jan 2026, which is the date this register uses.
- How many parameters does GLM-OCR have?
- The safetensors index gives 1,325,258,240 parameters, shown here as 1.3B. That figure is exact, not rounded.
- What is the context length of GLM-OCR?
- 131,072 tokens. That is max_position_embeddings from the model's own config.json — the architectural maximum, not necessarily the context a provider serves.
- What licence is GLM-OCR under?
- The Hub card lists mit.
- Is GLM-OCR gated?
- No. The Hugging Face model API does not mark this repository as gated.
- Does the GLM-OCR chat template show tool calling?
- The chat template contains evidence of tool calling.
Where each field came from
- Hugging Face model API — releasedAt, lastModified, downloads, likes, task, license, gated, parameters, libraryName, formats. Checked 18 Oct 2026.
- config.json — contextLength, layers, vocabSize, architecture. Checked 18 Oct 2026.
- chat template — capabilities. Checked 18 Oct 2026.
First recorded 24 Sept 2026, last checked 18 Oct 2026. This record is compiled automatically from the sources above. Where a field is blank, we could not source it and have not guessed. Canonical repository: huggingface.co/zai-org/GLM-OCR.