smshahbaj/RIFA-FLASH-1.7B
RIFA-FLASH-1.7B is a 1.7 billion parameter fine-tuned language model developed by SM Shahbaj, part of the RIFA model family. This model is designed for general language tasks, offering a higher-capacity option within its series. It provides various GGUF quantization options, including Q5_K_M, for flexible deployment.
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RIFA-FLASH-1.7B Overview
RIFA-FLASH-1.7B is a 1.7 billion parameter language model developed and maintained by SM Shahbaj, forming part of the broader RIFA model family. This model is presented as a higher-capacity, fine-tuned variant within its series.
Key Characteristics
- Parameters: 1.7 billion, indicating a compact yet capable model size.
- Creator: Developed and maintained by SM Shahbaj.
- Model Family: Belongs to the RIFA series, suggesting potential for integration or comparison with other RIFA models.
Deployment and Usage
The model is available in various GGUF quantization formats, including Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, and Q8_0, with Q5_K_M recommended for general use. This provides flexibility for deployment across different hardware configurations. A quick start guide is provided for integration with the transformers library, demonstrating how to load the model and tokenizer for text generation tasks.
Licensing
RIFA-FLASH-1.7B is released under the Apache 2.0 License.