Model Overview

This model, mehuldamani/sft-qwen-vmaze-v1, is a 3.1 billion parameter language model. The model card indicates it is based on the Qwen architecture and was shared by mehuldamani.

Key Characteristics

• Parameter Count: 3.1 billion parameters
• Context Length: 32768 tokens

Limitations and Recommendations

Due to the limited information provided in the model card, specific details regarding its development, training data, intended uses, biases, risks, and performance metrics are not available. Users are advised to be aware of these limitations and to exercise caution, as the model's capabilities and potential issues are not documented. Further information is needed for comprehensive recommendations regarding its application and responsible use.