SnowflakeCore-G0-Release

This is the initial release of the pre-trained model SnowflakeCore-G0 series language models, trained on the DialogMLM-50K dataset with optimized memory usage.

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Model details

• Architecture: SnowflakeCore
• Hidden size: 384
• Number of attention heads: 6
• Number of layers: 4
• Feed-forward dimension: 768
• Maximum sequence length: 384
• Vocabulary size: 30522

HuggingFace Transformers Compatibility

This model is fully compatible with the HuggingFace Transformers library. You can load it using:

from transformers import AutoConfig, AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("FlameF0X/SnowflakeCore-G0-Release")
config = AutoConfig.from_pretrained("FlameF0X/SnowflakeCore-G0-Release")
model = AutoModel.from_pretrained("FlameF0X/SnowflakeCore-G0-Release")

Memory Optimization Techniques

• Mixed precision training
• Gradient accumulation (4 steps)
• Fused QKV projection
• Pre-norm architecture
• Weight tying between embedding and output layers
• Half-precision model storage

The model weights are stored in both PyTorch (.bin) and safetensors format for improved security, loading efficiency, and compatibility.