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README.md
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- gguf
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- llama.cpp
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- inference-optimization
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- gguf
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- llama.cpp
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- inference-optimization
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---
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# DeepSeekV4Flash Quantization Repository
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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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---
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## 🚀 Purpose
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- Reduce model size (BF16 → Q3/Q4/Q5/Q8, etc.)
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- Improve inference speed
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- Enable deployment on limited GPU/CPU resources
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---
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## 🌍 Languages
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- English (en)
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- Vietnamese (vi)
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---
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## 🧠 Base Model
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- DeepSeek-V4-Flash (https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash)
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---
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## 📦 Contents
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- Model conversion and quantization scripts
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- Usage examples for llama.cpp / GGUF workflows
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- Common quantization configurations
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---
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## 🛠️ Requirements
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- Python >= 3.12
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- Latest version of llama.cpp (with GGUF support)
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- HuggingFace Transformers (if converting from HF format)
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- Sufficient RAM/VRAM depending on model size
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---
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## ⚙️ Example Usage
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```bash
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python convert_hf_to_gguf.py --model deepseek-ai/DeepSeek-V4-Flash --outfile models/DeepSeekV4Flash.gguf
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./llama-quantize models/DeepSeekV4Flash.gguf Q4_K_M
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```
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---
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## 📌 Notes
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- Quantization may require significant system memory depending on model size
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- Some quantization formats may not be compatible with all runtimes or versions
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- Always validate output quality after quantization
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---
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## 👤 Author
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- Email: tecaprovn@gmail.com
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- Telegram: https://t.me/tamndx
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---
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## 📄 License
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This repository follows the original DeepSeek model license.
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- Base model: Apache 2.0 (DeepSeek)
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- Only conversion scripts included, no weight modification
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