Model Overview

This model, CJ-gyuwonpark/ch-70b-v9, is a language model developed by CJ-gyuwonpark. While specific details on its architecture, parameter count, and core capabilities are not provided in the available documentation, its training procedure highlights a focus on efficient quantization.

Training Details

The model was trained using bitsandbytes 4-bit quantization. Key aspects of its training configuration include:

• Quantization Method: bitsandbytes
• Quantization Type: nf4 (NormalFloat 4-bit)
• Double Quantization: Enabled (bnb_4bit_use_double_quant: True)
• Compute Dtype: bfloat16
• Framework: PEFT 0.6.0.dev0

This quantization approach suggests an emphasis on reducing memory footprint and potentially speeding up inference, making it suitable for environments with resource constraints. Further information regarding its specific applications, performance benchmarks, and intended use cases is not available in the current model card.