ccui46/glmz1_9b_hazardworld_per_chunk_act_glm_4000

TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Mar 9, 2026Architecture:Transformer Cold

The ccui46/glmz1_9b_hazardworld_per_chunk_act_glm_4000 is a 9 billion parameter language model with a 32768 token context length. Developed by ccui46, this model's specific architecture, training details, and primary differentiators are not explicitly provided in its current model card. Further information is needed to determine its optimized use cases or unique capabilities compared to other LLMs.

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Model Overview

The ccui46/glmz1_9b_hazardworld_per_chunk_act_glm_4000 is a language model with 9 billion parameters and a substantial context length of 32768 tokens. This model has been pushed to the Hugging Face Hub, but its model card indicates that significant details regarding its development, architecture, and training are currently marked as "More Information Needed."

Key Characteristics

  • Parameter Count: 9 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.

Current Limitations

As per the provided model card, specific information regarding the following is not yet available:

  • Developed by: The specific developer beyond 'ccui46' is not detailed.
  • Model Type: The underlying architecture (e.g., Transformer, GPT-variant) is not specified.
  • Language(s): The primary language(s) it is trained on are not listed.
  • License: The licensing terms for its use are not provided.
  • Training Data & Procedure: Details on the datasets used for training, preprocessing steps, and hyperparameters are missing.
  • Evaluation: No evaluation protocols, testing data, metrics, or results are available.
  • Intended Uses: Direct and downstream use cases are not defined, making it difficult to assess its suitability for specific applications.
  • Bias, Risks, and Limitations: While acknowledged, specific details are pending.

Recommendations

Users are advised that due to the lack of detailed information, a comprehensive understanding of this model's capabilities, limitations, and appropriate use cases is not currently possible. Further details from the developer are required for informed deployment and application.