Update README with swllm.cpp usage and social links
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README.md
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---
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quantization: F16
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AIGC:
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ContentProducer: Minimax Agent AI
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ContentPropagator:
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Label: AIGC
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---
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# shenwen-coderV2-F16-GGUF
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<img src="https://huggingface.co/front/assets/huggingface_logo.svg" alt="Hugging Face" width="50" height="50">
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</p>
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[](https://huggingface.co/shenwenAI/shenwen-coderV2-GGUF)
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[]()
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</div>
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## Model Overview
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## Quantization Details
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| Attribute | Value |
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| **Format** | GGUF |
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| **Quantization** | F16 (Float16) |
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| **File Size** | ~949MB |
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./build/bin/llama-cli -m shenwen-coderV2-F16.gguf -n 512 -p "Write a Python function to calculate factorial:"
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```
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## Model Source
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This GGUF model is converted from [shenwenAI/shenwen-coderV2-Instruct](https://huggingface.co/shenwenAI/shenwen-coderV2-Instruct), which is based on Qwen2.5-Coder-0.5B-Instruct.
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- [Qwen Team](https://github.com/QwenLM/Qwen) for Qwen2.5-Coder
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) for GGUF format
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- [shenwenAI](https://huggingface.co/shenwenAI) for model training
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---
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AIGC:
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ContentProducer: Minimax Agent AI
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ContentPropagator: Minimax Agent AI
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Label: AIGC
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ProduceID: 8c0a592841c03d01f6355d7d93440e48
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PropagateID: 8c0a592841c03d01f6355d7d93440e48
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ReservedCode1: 304502202d23fc5d081eaf9f244af5a16207f575cdc17daca9db7c4d9818c18ef863d841022100a9d0e75d5e71e892d5196089e9f8febe95380672f45087ecb04ea4af9e2f5a3c
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ReservedCode2: 3044022039292b27362d41669572a7d520642acae41a53bd307198578ff6e5d63c06901902206cbb67618639b1427678250cfbb413317715c5828c43ac8f6fc45163a229ffe9
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---
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# shenwen-coderV2-F16-GGUF
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[](https://huggingface.co/shenwenAI/shenwen-coderV2-GGUF)[](https://huggingface.co/shenwenAI/shenwen-coderV2-GGUF)[](https://huggingface.co/shenwenAI/shenwen-coderV2-GGUF)[](https://huggingface.co/shenwenAI/shenwen-coderV2-GGUF)
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## Model Overview
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## Quantization Details
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| Attribute | Value |
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| --- | --- |
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| **Format** | GGUF |
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| **Quantization** | F16 (Float16) |
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| **File Size** | ~949MB |
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./build/bin/llama-cli -m shenwen-coderV2-F16.gguf -n 512 -p "Write a Python function to calculate factorial:"
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```
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## Usage with swllm.cpp (Optimized Code Generation)
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For optimized code generation, we recommend using our custom **swllm.cpp** tool:
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```bash
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# Clone swllm.cpp
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git clone https://github.com/shenwenAI/swllm.cpp
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cd swllm.cpp
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# Build
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mkdir build && cd build
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cmake .. && make -j
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# Run with this model
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./build/bin/swllm-cli -m shenwen-coderV2-F16.gguf -n 512 -p "Write a Python function to calculate factorial:"
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```
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**swllm.cpp** provides optimized code generation capabilities for enhanced performance and quality.
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## Model Source
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This GGUF model is converted from [shenwenAI/shenwen-coderV2-Instruct](https://huggingface.co/shenwenAI/shenwen-coderV2-Instruct), which is based on Qwen2.5-Coder-0.5B-Instruct.
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- [Qwen Team](https://github.com/QwenLM/Qwen) for Qwen2.5-Coder
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- [llama.cpp](https://github.com/ggerganov/llama.cpp) for GGUF format
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- [shenwenAI](https://huggingface.co/shenwenAI) for model training
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## Connect With Us
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- **GitHub**: [https://github.com/shenwenAI](https://github.com/shenwenAI)
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- **HuggingFace**: [https://huggingface.co/shenwenAI](https://huggingface.co/shenwenAI)
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- **Twitter/X**: [https://x.com/shenwenai](https://x.com/shenwenai)
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---
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*If this model is helpful, please consider giving us a star on GitHub and following us on social media!*
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