GLM 4.7 Flash
GLM 4.7 Flash ist ein führendes KI-Tool zur Optimierung von LLM models-Aufgaben.
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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.
Detaillierte Preisinformationen
- Bietet starke Leistung und ist als das stärkste Modell in der 30B-Klasse positioniert.
- Für den leichtgewichtigen Einsatz konzipiert, balanciert Leistung mit Effizienz aus.
- Erzielt hohe Punktzahlen bei einer Vielzahl anspruchsvoller Benchmarks, einschließlich agentischer und Codierungsaufgaben.
- Unterstützt die lokale Bereitstellung mithilfe beliebter und optimierter Inferenz-Frameworks wie vLLM und SGLang.
- Enthält spezialisierte Modi und Parser (z.B. Preserved Thinking-Modus, Tool-Call-Parser) für verbesserte agentische Fähigkeiten.
- Spezifische Preisdetails für die Z.ai API-Dienste sind in der verfügbaren Dokumentation nicht angegeben.
- Erfordert spezifische Versionen und Installationsschritte für lokale Bereitstellungs-Frameworks wie SGLang und Transformers, was für einige Benutzer komplex sein könnte.
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