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glm 4 9b chat IMat GGUF

Open weights
Open LLM legraphista Docs ↗
Model spec
Provider
legraphista
Context window
-
Max output
-
Input price
-
Output price
-
License
See model card
Open weights
Yes

The glm 4 9b chat IMat GGUF is an open-weight language model published by legraphista on Hugging Face. As part of the GLM family of models, it represents a freely available option for developers looking to incorporate chat-oriented AI capabilities into their applications.

This model fits among other open-weight alternatives in the GLM series, though its specific 9B parameter configuration and chat optimization may make it particularly suitable for dialogue-focused implementations. The lack of detailed specifications means developers may need to evaluate its capabilities through testing.

Teams considering this model will likely value its open-weight nature for on-premises deployment or customization. Those requiring guaranteed performance characteristics or with strict resource constraints may need to evaluate alternative options with more complete documentation.

Modality

Text

Use cases

Chatbot developmentText-based conversational AIOpen-ended dialogue systemsAI-assisted writingGeneral language understanding tasks

Pros & cons

Pros

  • Open-weight model allows for customization and local deployment
  • Based on the GLM architecture which is optimized for language tasks
  • Available on Hugging Face Hub for easy access

Cons

  • No specified context window limits its application for long-form content
  • Lack of performance benchmarks makes it difficult to compare with alternatives
  • No pricing information provided for cloud deployment scenarios

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Read the official docs

glm 4 9b chat IMat GGUF

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