ccui46/hazardworld_per_chunk_act_glm_tokfix_diffPrompt_4000
TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Apr 12, 2026Architecture:Transformer Cold

The ccui46/hazardworld_per_chunk_act_glm_tokfix_diffPrompt_4000 is a 9 billion parameter language model with a 32768 token context length. This model is a Hugging Face Transformers model, automatically generated and pushed to the Hub. Due to limited information in its model card, specific architectural details, training data, and primary differentiators are not provided. Its intended use cases and unique capabilities are currently unspecified.

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Model Overview

The ccui46/hazardworld_per_chunk_act_glm_tokfix_diffPrompt_4000 is a 9 billion parameter language model with a substantial context length of 32768 tokens. This model is hosted on the Hugging Face Hub as a standard Transformers model.

Key Characteristics

  • Parameter Count: 9 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Model Type: A general Hugging Face Transformers model.

Current Limitations and Information Gaps

Based on the provided model card, detailed information regarding the following aspects is currently unavailable:

  • Developed by: Creator details are not specified.
  • Model Architecture: Specific architectural family (e.g., GPT, Llama) is not provided.
  • Training Data: Information about the datasets used for training is missing.
  • Primary Use Cases: The intended applications or specific strengths of this model are not outlined.
  • Performance Metrics: No evaluation results or benchmarks are available.
  • Bias, Risks, and Limitations: These sections are marked as "More Information Needed."

Recommendations

Users should be aware of the significant lack of detail in the model card. Without further information on its development, training, and evaluation, it is challenging to assess its suitability for specific tasks or to understand its potential biases and limitations. More information is needed to provide concrete recommendations for its use.