GLM 5.2 FP8
GLM 5.2 FP8 is an FP8 quantized text-generation model from zai-org, released under the MIT license. Its official model card describes it as a flagship model for long-horizon tasks with a solid 1M-token context, improved coding, an IndexShare architecture, and MTP speculative decoding. The card lists SGLang, vLLM, Transformers, and KTransformers as deployment frameworks, and links to blog, paper, API, and community resources.
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At a glance
- Parameters
- 753.33B
- Architecture
- glm_moe_dsa
- Context length
- 1,048,576
- License
- mit
- Disk space
- 703.7 GB
- Software
- SGLang, vLLM
Will it run on your machine?
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Add my hardwareBest for
- Long-horizon task processing with up to 1M-token context
- Text generation
- Coding tasks with adjustable thinking effort levels
- Agentic tool use and MCP-style workflows
- Local deployment via supported frameworks such as SGLang, vLLM, Transformers, or KTransformers
Tradeoffs
- The supplied source data is truncated and does not include complete framework version or hardware requirements.
- The model card marks a new version (zai-org/GLM-5.3), but no migration or compatibility details are provided.
- Only FP8 model facts are supplied; other precision or format options are not described.
- No independent testing, performance benchmarks, or real-world validation are provided in the source data.
- No information is given about supported languages beyond the metadata tags 'en' and 'zh'.
Ways to run it
SGLang · Linux / rented GPU
Publisher-linked deployment recipe; follow the maintained runtime instructions at the source.
Official instructionsvLLM · Linux / rented GPU
Publisher-linked deployment recipe; follow the maintained runtime instructions at the source.
Official instructionsExplore its uses
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