Guccimam/qwen2.5-coder-c3

Model Overview

This model, Guccimam/qwen2.5-coder-c3, is a 1.5 billion parameter model available on the Hugging Face Hub. It is presented as a standard 🤗 transformers model. The provided model card indicates that it is a base model with many details yet to be specified.

Key Characteristics

• Model Type: A transformers-based model, likely a causal language model given its architecture family.
• Parameters: It features 1.5 billion parameters, making it a relatively compact model suitable for various applications where computational resources might be a consideration.
• Context Length: The model supports a context length of 32768 tokens, which is substantial for processing longer sequences of text or code.

Information Gaps

The current model card indicates that significant details are yet to be provided, including:

• Developer and Funding: The original developer and any funding sources are not specified.
• Language(s): The primary language(s) it is trained on are not listed.
• License: The licensing terms for its use are currently unknown.
• Finetuning Origin: It is not specified if this model was finetuned from another base model.
• Training Data and Procedure: Details about the datasets used for training, preprocessing steps, hyperparameters, and training regime are marked as 'More Information Needed'.
• Evaluation Results: No evaluation metrics, testing data, or performance summaries are available.
• Intended Use Cases: Specific direct or downstream use cases are not detailed, nor are out-of-scope uses or known biases and limitations.

Users should consult future updates to the model card for comprehensive information regarding its capabilities, performance, and appropriate usage.