ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_2000

TEXT GENERATIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kPublished:Apr 11, 2026Architecture:Transformer Cold

The ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_2000 is a 9 billion parameter language model developed by ccui46, featuring a substantial 32,768 token context length. This model is a Hugging Face Transformers model, automatically generated and pushed to the Hub. Its specific architecture, training details, and primary differentiators are not explicitly detailed in the provided model card, indicating a need for more information regarding its specialized capabilities or intended applications.

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Model Overview

The ccui46/cookingworld_per_chunk_act_glm_tokfix_diffPrompt_2000 is a 9 billion parameter language model with a 32,768 token context length, developed by ccui46. This model is hosted on the Hugging Face Hub as a Transformers model, with its card automatically generated. The provided model card indicates that specific details regarding its architecture, training data, and fine-tuning processes are currently awaiting further information.

Key Characteristics

  • Parameters: 9 billion
  • Context Length: 32,768 tokens
  • Developer: ccui46
  • Framework: Hugging Face Transformers

Current Status and Limitations

As per the model card, detailed information on several critical aspects is currently marked as "More Information Needed." This includes:

  • Model type and language(s)
  • License and finetuning origins
  • Intended direct and downstream uses
  • Bias, risks, and limitations
  • Training data, procedure, and hyperparameters
  • Evaluation metrics and results
  • Technical specifications and environmental impact

When to Use

Given the lack of specific details, this model is currently best suited for users who are either the developers themselves or those with direct access to the developers for further information. Without additional context on its training and intended purpose, its suitability for general use cases or specific applications cannot be determined.