metadata
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
llama.cpp quantization
Using llama.cpp release b4944 for quantization. Original model: https://huggingface.co/Qwen/Qwen2-0.5B-Instruct Run them directly with 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 | Q4_K_M | 0.37 GB | False |
Downloading using huggingface-cli
Click to view download instructions
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>