---
base_model: Qwen/Qwen3-0.6B-Base
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- llama-cpp
- gguf-my-repo
---

*Produced by [Antigma Labs](https://antigma.ai), [Antigma Quantize Space](https://huggingface.co/spaces/Antigma/quantize-my-repo)*

*Follow Antigma Labs in X [https://x.com/antigma_labs](https://x.com/antigma_labs)*

*Antigma's GitHub Homepage [https://github.com/AntigmaLabs](https://github.com/AntigmaLabs)*

## 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/b5215">b5215</a> for quantization.
Original model: https://huggingface.co/Qwen/Qwen3-0.6B-Base
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 |
| -------- | ---------- | --------- | ----- |
| [qwen3-0.6b-base-q4_k_m.gguf](https://huggingface.co/Antigma/Qwen3-0.6B-Base-GGUF/blob/main/qwen3-0.6b-base-q4_k_m.gguf)|Q4_K_M|0.37 GB|False|
|[qwen3-0.6b-base-q4_0.gguf](https://huggingface.co/Antigma/Qwen3-0.6B-Base-GGUF/blob/main/qwen3-0.6b-base-q4_0.gguf)|Q4_0|0.36 GB|False|
|[qwen3-0.6b-base-q4_k_s.gguf](https://huggingface.co/Antigma/Qwen3-0.6B-Base-GGUF/blob/main/qwen3-0.6b-base-q4_k_s.gguf)|Q4_K_S|0.36 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/Antigma/Qwen3-0.6B-Base-GGUF --include "qwen3-0.6b-base-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/Antigma/Qwen3-0.6B-Base-GGUF --include "qwen3-0.6b-base-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>