{"schema_version":"onlylabs.public_signal.v1","title":"Zhipu AI (GLM) Model: zai-org/Glyph","description":"Zhipu AI (GLM) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/6c3899af-9e45-4ca1-b127-b42c4365bccb","json_url":"https://onlylabs.fyi/signals/6c3899af-9e45-4ca1-b127-b42c4365bccb/signal.json","generated_at":"2026-06-11T01:33:27.864728+00:00","org":{"slug":"zhipu","name":"Zhipu AI (GLM)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/zhipu","dossier_json_url":"https://onlylabs.fyi/labs/zhipu/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/6c3899af-9e45-4ca1-b127-b42c4365bccb","signal_json":"https://onlylabs.fyi/signals/6c3899af-9e45-4ca1-b127-b42c4365bccb/signal.json","source":"https://huggingface.co/zai-org/Glyph","lab_dossier":"https://onlylabs.fyi/labs/zhipu","lab_dossier_json":"https://onlylabs.fyi/labs/zhipu/dossier.json","analysis":"https://onlylabs.fyi/analysis/zhipu","analysis_json":"https://onlylabs.fyi/analysis/zhipu/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/zhipu/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Zhipu AI (GLM) published zai-org/Glyph. 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- **Repository:** https://github.com/thu-coai/Glyph - **Paper:** https://arxiv.org/abs/2510.17800 ![\"abs\"](\"https://raw.githubusercontent.com/thu-coai/Glyph/main/assets/intro.png\")
**Glyph** is a framework for scaling the context length through visual-text compression. Instead of extending token-based context windows, Glyph renders long textual sequences into images and processes them using vision–language models (VLMs). This design transforms the challenge of long-context modeling into a multimodal problem, substantially reducing computational and memory costs while preserving semantic information. Backbone Model Our model is built on [GLM-4.1V-9B-Base](https://huggingface.co/zai-org/GLM-4.1V-9B-Base). Quick Inference This is a simple example of running single-image inference using the `transformers` library. First, install the `transformers` library: ``` pip install transformers>=4.57.1 ``` Then, run the following code:..."},"evidence_pages":[{"url":"https://huggingface.co/zai-org/Glyph/raw/main/README.md","final_url":"https://huggingface.co/zai-org/Glyph/raw/main/README.md","title":"zai-org/Glyph model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T01:33:27.864728+00:00","bytes":3587,"raw_path":"8c5cdcd87c197110ec41234e4e4238f48f1aec0e17d316111eaf8f511120c84f.md","content_hash":"0becab10ebc8dd096301a8a93caa010760ebd8141319c37a991be1a7e38caae9","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: mit language: - zh - en base_model: - zai-org/GLM-4.1V-9B-Base pipeline_tag: image-text-to-text library_name: transformers --- Glyph: Scaling Context Windows via Visual-Text Compression
- **Repository:** https://github.com/thu-coai/Glyph - **Paper:** https://arxiv.org/abs/2510.17800
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