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This is the first version (V1) of DeepSeek-Light, an optimized variant of DeepSeek-Coder-6.7B. The goal of this project is to reduce VRAM usage while maintaining model performance, making it more accessible for deployment on consumer hardware.

Included in this PR:
✅ Model files: Pretrained weights with 4-bit quantization (BFloat16).
✅ Tokenizer: Required files for correct text processing.
✅ Model Card (README): Full documentation of the optimization process.
✅ License (MIT): Allows commercial use and modifications.

Optimization Highlights:
📉 VRAM reduction: From 7.85GB → 3.93GB (~50% less).
⚡ Quantization: 4-bit NF4 with BFloat16 for efficiency.
💡 Optimized for BitsAndBytes loading.

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