Create README.md

# DeepSeekV4Flash Quantization Repository

This repository provides scripts and guidelines for quantizing the **DeepSeek V4 Flash** model, enabling reduced model size and optimized inference performance.

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## 🚀 Purpose
- Reduce model size (BF16 → Q3/Q4/Q5/Q8, etc.)
- Improve inference speed
- Enable deployment on limited GPU/CPU resources

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## 🌍 Languages
- English (en)
- Vietnamese (vi)

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## 🧠 Base Model
- DeepSeek-V4-Flash (https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash)




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## 📦 Contents
- Model conversion and quantization scripts
- Usage examples for llama.cpp / GGUF workflows
- Common quantization configurations

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## 🛠️ Requirements
- Python >= 3.12
- Latest version of llama.cpp (with GGUF support)
- HuggingFace Transformers (if converting from HF format)
- Sufficient RAM/VRAM depending on model size

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## ⚙️ Example Usage

```bash
python convert_hf_to_gguf.py --model deepseek-ai/DeepSeek-V4-Flash --outfile models/DeepSeekV4Flash.gguf

./llama-quantize models/DeepSeekV4Flash.gguf Q4_K_M
```

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## 📌 Notes
- Quantization may require significant system memory depending on model size
- Some quantization formats may not be compatible with all runtimes or versions
- Always validate output quality after quantization

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## 👤 Author

- Email: tecaprovn@gmail.com
- Telegram: https://t.me/tamndx

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## 📄 License

This repository follows the original DeepSeek model license.

- Base model: Apache 2.0 (DeepSeek)
- Only conversion scripts included, no weight modification

README.md

@@ -0,0 +1,18 @@
+---
+license: apache-2.0
+language:
+- en
+- zh
+- vi
+base_model:
+- deepseek-ai/DeepSeek-V4-Flash
+tags:
+- deepseek
+- deepseek4
+- deepseekpro
+- llm
+- quantization
+- gguf
+- llama.cpp
+- inference-optimization
+---