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Model: Antigma/Qwen3-8B-GGUF
Source: Original Platform

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README.md

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+---
+base_model: Qwen/Qwen3-8B
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
+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/Qwen3-8B
+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 |
+| -------- | ---------- | --------- | ----- |
+| [qwen3-8b-q4_k_m.gguf](https://huggingface.co/Antigma/Qwen3-8B-GGUF/blob/main/qwen3-8b-q4_k_m.gguf)|Q4_K_M|4.68 GB|False|
+|[qwen3-8b-q4_0.gguf](https://huggingface.co/Antigma/Qwen3-8B-GGUF/blob/main/qwen3-8b-q4_0.gguf)|Q4_0|4.45 GB|False|
+|[qwen3-8b-q4_k_s.gguf](https://huggingface.co/Antigma/Qwen3-8B-GGUF/blob/main/qwen3-8b-q4_k_s.gguf)|Q4_K_S|4.47 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/Qwen3-8B-GGUF --include "qwen3-8b-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/Qwen3-8B-GGUF --include "qwen3-8b-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>

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qwen3-8b-q4_k_s.gguf

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