Downloads · 30 days
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Antigma/Qwen3-4B-Base-GGUF
Qwen3-4B-Base-GGUF is a machine learning model from Antigma. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Produced by Antigma Labs, Antigma Quantize Space
Downloads · 30 days
77
5% of all-time downloads
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.gguf7.3 GB · 100%
From the Hugging Face model README
Produced by Antigma Labs, Antigma Quantize Space
Follow Antigma Labs in X https://x.com/antigma_labs
Antigma's GitHub Homepage https://github.com/AntigmaLabs
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/Qwen3-4B-Base Run them directly with llama.cpp, or any other llama.cpp based project
<|begin▁of▁sentence|>{system_prompt}<|User|>{prompt}<|Assistant|><|end▁of▁sentence|><|Assistant|>
| Filename | Quant type | File Size | Split |
|---|---|---|---|
| qwen3-4b-base-q4_k_m.gguf | Q4_K_M | 2.33 GB | False |
| qwen3-4b-base-q4_0.gguf | Q4_0 | 2.21 GB | False |
| qwen3-4b-base-q4_k_s.gguf | Q4_K_S | 2.22 GB | False |
pip install -U "huggingface_hub[cli]"
Then, you can target the specific file you want:
huggingface-cli download https://huggingface.co/Antigma/Qwen3-4B-Base-GGUF --include "qwen3-4b-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/Qwen3-4B-Base-GGUF --include "qwen3-4b-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>