GLM-OCR
Suverenost in gostovanje
Ta model je v katalogu za referenco. Na LLM EU še ni gostovan in nobena lastna končna točka ga tukaj ne streže. Zahteve zanj gredo neposredno k ponudniku, pod lastnimi pogoji tega ponudnika.
Povzetek
GLM-OCR is a small multimodal model for document text extraction, built from a CogViT vision encoder and a GLM-0.5B language decoder. The vendor states it has about 0.9B parameters while the published safetensors total is 1.33B, and the configuration allows 131,072 text positions. It is MIT licensed and runs under vLLM, SGLang or Ollama for high-volume extraction.
Specifikacije
- Ponudnik
- Z.ai (Zhipu AI) (CN)
- Kontekstno okno
- 131k
- Parametri
- 1.33B
- Modalnosti
- vision
- Licenca
- mit · licence
- Odprte uteži
- yes
- Datum izdaje
- 30. jan. 2026
- Naloge
- vision, rag, legal-draft, cheap, summarization
Jeziki
Močno: zh, en
Zadostno: de, fr, es, ru, ja, ko
Jeziki
Močno
- zh
- en
Zadostno
- de
- fr
- es
- ru
- ja
- ko
Ni preverjeno: ponudnik te trditve ni dokumentiral. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Kdaj ga uporabiti
Prednosti
- purpose-built document OCR rather than general vision
- runs on modest hardware and through common inference servers
- MIT licence
Omejitve
- text extraction only; it is not a general chat or reasoning model
- vendor parameter count (0.9B) differs from the published safetensors total (1.33B)
- no OCR benchmark has been run by LLM EU