GLM 4.7 Flash
GLM 4.7 Flash — это ведущий инструмент искусственного интеллекта для оптимизации задач в категории LLM models.
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GLM-4.7-Flash is built with a 30 billion parameter, A3B Mixture-of-Experts architecture, contributing to its balance of performance and efficiency.
The model is designed to offer a new option for lightweight deployment, optimizing for both performance and operational efficiency.
GLM-4.7-Flash achieves high scores across various benchmarks, including AIME (91.6), GPQA (75.2), LCB v6 (64.0), HLE (14.4), SWE-bench Verified (59.2), τ²-Bench (79.5), and BrowseComp (42.8).
The model supports local deployment and inference using popular frameworks such as vLLM and SGLang, with comprehensive installation and usage instructions provided.
For multi-turn agentic tasks like τ²-Bench and Terminal Bench 2, the model can utilize a 'Preserved Thinking mode' to enhance performance and avoid failure modes.
The model integrates specific parsers for tool calls (glm47) and reasoning (glm45), enhancing its capabilities in complex interactive and agentic workflows.
Подробная информация о ценах
- Offers strong performance, positioned as the strongest model in the 30B class.
- Designed for lightweight deployment, balancing performance with efficiency.
- Achieves high scores on a variety of challenging benchmarks, including agentic and coding tasks.
- Supports local deployment using popular and optimized inference frameworks like vLLM and SGLang.
- Includes specialized modes and parsers (e.g., Preserved Thinking mode, tool-call parser) for enhanced agentic capabilities.
- Specific pricing details for the Z.ai API services are not provided in the available documentation.
- Requires specific versions and installation steps for local deployment frameworks like SGLang and Transformers, which might be complex for some users.
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