Upload README.md with huggingface_hub

README.md

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+---
+base_model: Qwen/Qwen2-0.5B-Instruct
+language:
+- en
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- chat
+- llama-cpp
+- gguf-my-repo
+---
+
+*Produced by [Antigma Labs](https://antigma.ai)*
+## llama.cpp quantization
+Using <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b5165">b4944</a> for quantization.
+Original model: https://huggingface.co/Qwen/Qwen2-0.5B-Instruct
+Run them directly with [llama.cpp](https://github.com/ggml-org/llama.cpp), or any other llama.cpp based project
+## Prompt format
+```
+<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><｜end▁of▁sentence｜><｜Assistant｜>
+```
+## Download a file (not the whole branch) from below:
+| Filename | Quant type | File Size | Split |
+| -------- | ---------- | --------- | ----- |
+| [qwen2-0.5b-instruct-q4_k_m.gguf](https://huggingface.co/Brianpu/Qwen2-0.5B-Instruct-Q4_K_M-GGUF/blob/main/qwen2-0.5b-instruct-q4_k_m.gguf)|Q4_K_M|0.37 GB|False|
+
+## Downloading using huggingface-cli
+<details>
+  <summary>Click to view download instructions</summary>
+First, make sure you have hugginface-cli installed:
+```
+pip install -U "huggingface_hub[cli]"
+
+```
+Then, you can target the specific file you want:
+
+```
+huggingface-cli download https://huggingface.co/Brianpu/Qwen2-0.5B-Instruct-Q4_K_M-GGUF --include "qwen2-0.5b-instruct-q4_k_m.gguf" --local-dir ./
+
+```
+If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
+
+```
+huggingface-cli download https://huggingface.co/Brianpu/Qwen2-0.5B-Instruct-Q4_K_M-GGUF --include "qwen2-0.5b-instruct-q4_k_m.gguf/*" --local-dir ./
+
+```
+You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)
+
+</details>