GLM-5.2
GLM-5.2 is een geavanceerde AI-tool ontworpen om LLM models-taken te optimaliseren.
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GLM-5.2 offers a robust 1 million-token context window, enabling it to stably sustain and process information for long-horizon tasks.
The model provides stronger coding capabilities, allowing users to choose from multiple thinking effort levels to balance performance and latency according to specific needs.
GLM-5.2 incorporates IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9x at a 1M context length. It also features an improved MTP layer for speculative decoding, increasing acceptance length by up to 20%.
The model is released under an MIT open-source license, ensuring it can be used without regional limits or technical access restrictions.
Users can access GLM-5.2 through API services provided on the Z.ai API Platform.
GLM-5.2 supports deployment with various popular frameworks including SGLang (v0.5.13+), vLLM (v0.23.0+), Transformers (v0.5.12+), KTransformers (v0.5.12+), and Unsloth (v0.1.47-beta+). It also supports inference frameworks like vLLM-Ascend, xLLM, and SGLang for Ascend NPU platforms.
Gedetailleerde prijsinformatie
- Exceptional long-horizon task capability with a solid 1M-token context window, a significant improvement over its predecessor.
- Strong and flexible coding capabilities, allowing users to adjust effort levels for optimal performance or latency.
- Efficient architecture with innovations like IndexShare, which reduces computational FLOPs, and an improved MTP layer for faster speculative decoding.
- Pure open-source model under an MIT license, offering unrestricted use and deployment without regional or technical barriers.
- Broad support for local deployment across various popular inference frameworks, including specialized support for Ascend NPU platforms.
- No specific limitations or drawbacks are explicitly mentioned in the provided official documentation.
What is GLM-5.2?
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