t2ance/CodeRM-GRPO-Selection-1.7B
t2ance/CodeRM-GRPO-Selection-1.7B is a 2 billion parameter language model developed by t2ance. This model is a Hugging Face Transformers model, automatically pushed to the Hub. Further details regarding its architecture, training, and specific capabilities are not provided in the available model card.
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Model Overview
t2ance/CodeRM-GRPO-Selection-1.7B is a 2 billion parameter model available on the Hugging Face Hub. This model card has been automatically generated, indicating it is a standard Hugging Face Transformers model.
Key Characteristics
- Parameter Count: 2 billion parameters.
- Context Length: 32768 tokens.
Current Status and Limitations
As per the provided model card, many details regarding this model are currently marked as "More Information Needed." This includes critical aspects such as:
- The specific model type or architecture.
- The language(s) it supports.
- Its license.
- Whether it was finetuned from another model.
- Its intended direct and downstream uses.
- Any known biases, risks, or limitations.
- Training data and procedure details.
- Evaluation results or benchmarks.
Recommendations
Users are advised that due to the lack of detailed information, caution should be exercised. Further recommendations regarding its use, risks, and limitations cannot be provided without more comprehensive data from the model developers.