CEIA-POSITIVO/Qwen-1.7B-capado_rl
CEIA-POSITIVO/Qwen-1.7B-capado_rl is a 2 billion parameter language model developed by CEIA-POSITIVO. This model is a Qwen-based architecture with a context length of 32768 tokens. The model card indicates that further information is needed regarding its specific capabilities, training, and intended use cases.
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Model Overview
This model, CEIA-POSITIVO/Qwen-1.7B-capado_rl, is a 2 billion parameter language model based on the Qwen architecture, featuring a substantial context length of 32768 tokens. The model card, however, indicates that significant details regarding its development, specific capabilities, and intended applications are currently marked as "More Information Needed."
Key Characteristics
- Model Type: Qwen-based architecture
- Parameter Count: 2 billion parameters
- Context Length: 32768 tokens
Current Status and Limitations
As per the provided model card, detailed information on the following aspects is pending:
- Developer and Funding: Specific entities responsible for development and funding.
- Language(s): The primary language(s) it is designed for.
- License: The licensing terms under which the model is distributed.
- Training Details: Information regarding training data, procedures, hyperparameters, and environmental impact.
- Evaluation: Performance metrics, testing data, and results.
- Intended Uses: Direct and downstream use cases, as well as out-of-scope applications.
- Bias, Risks, and Limitations: A comprehensive assessment of potential issues.
Recommendations
Users are advised that due to the lack of detailed information, caution should be exercised. Further recommendations will be provided once more data on the model's risks, biases, and limitations becomes available. Developers should await more comprehensive documentation before deploying this model in critical applications.