ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_lowerLR_tformerPin_4000

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 24, 2026Architecture:Transformer Cold

The ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_lowerLR_tformerPin_4000 is an 8 billion parameter language model with a 32768 token context length. This model is a transformer-based architecture, developed by ccui46. Specific details regarding its training, architecture, and primary differentiators are not provided in the available model card, indicating it may be a base model or a specialized fine-tune without public documentation on its unique characteristics or intended applications.

Loading preview...

Model Overview

The ccui46/cookingworld_per_chunk_act_q3_tokfix_diffPrompt_lowerLR_tformerPin_4000 is an 8 billion parameter language model with a substantial context length of 32768 tokens. Developed by ccui46, this model is presented as a Hugging Face Transformers model, though specific details about its architecture, training data, or fine-tuning objectives are not publicly available in the provided model card.

Key Characteristics

  • Parameter Count: 8 billion parameters.
  • Context Length: Supports a large context window of 32768 tokens.
  • Developer: ccui46.

Current Limitations

Due to the lack of detailed information in the model card, the following aspects are currently unknown:

  • Model Type & Architecture: Specifics of the underlying model architecture.
  • Training Data & Procedure: Information on the datasets used for training or fine-tuning.
  • Intended Use Cases: The primary applications or tasks for which this model was designed.
  • Performance & Evaluation: Any benchmark results or evaluation metrics.
  • Bias, Risks, and Limitations: A comprehensive assessment of potential biases or limitations.

Users are advised that without further documentation, the specific capabilities and optimal use cases for this model remain to be determined.