akshay4/budget-router-sft-qwen1.5b
The akshay4/budget-router-sft-qwen1.5b is a 1.5 billion parameter language model with a 32768 token context length. This model is a fine-tuned version, though specific details on its training and unique differentiators are not provided in its current model card. It is intended for general language tasks, but its specific optimizations or primary use cases are not detailed.
Loading preview...
Model Overview
The akshay4/budget-router-sft-qwen1.5b is a 1.5 billion parameter language model, supporting a substantial context length of 32768 tokens. This model has been pushed to the Hugging Face Hub as a 🤗 transformers model.
Key Characteristics
- Parameter Count: 1.5 billion parameters, indicating a compact yet capable model size.
- Context Length: Features a large context window of 32768 tokens, allowing it to process and generate longer sequences of text.
- Model Type: The specific architecture and language(s) are not detailed in the provided model card, suggesting it's a general-purpose language model.
Intended Use
Due to the limited information in the model card, the direct and downstream uses are broadly defined. Users should be aware that specific performance characteristics, biases, risks, and limitations are not yet documented. Further information is needed to provide concrete recommendations for its application.
Limitations and Recommendations
The model card explicitly states that more information is needed regarding its development, funding, specific model type, language(s), license, and finetuning details. Users are advised to be aware of potential risks, biases, and limitations, as these are currently undocumented. It is recommended to await further documentation for a comprehensive understanding of the model's capabilities and appropriate use cases.