57 lines
2.3 KiB
Markdown
57 lines
2.3 KiB
Markdown
---
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base_model: Qwen/Qwen3-8B
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-8B/blob/main/LICENSE
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pipeline_tag: text-generation
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tags:
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- llama-cpp
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- gguf-my-repo
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---
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*Produced by [Antigma Labs](https://antigma.ai), [Antigma Quantize Space](https://huggingface.co/spaces/Antigma/quantize-my-repo)*
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*Follow Antigma Labs in X [https://x.com/antigma_labs](https://x.com/antigma_labs)*
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*Antigma's GitHub Homepage [https://github.com/AntigmaLabs](https://github.com/AntigmaLabs)*
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## llama.cpp quantization
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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.
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Original model: https://huggingface.co/Qwen/Qwen3-8B
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Run them directly with [llama.cpp](https://github.com/ggml-org/llama.cpp), or any other llama.cpp based project
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## Prompt format
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```
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<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><｜end▁of▁sentence｜><｜Assistant｜>
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```
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## Download a file (not the whole branch) from below:
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| Filename | Quant type | File Size | Split |
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| -------- | ---------- | --------- | ----- |
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| [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|
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|[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|
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|[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|
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## Downloading using huggingface-cli
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<details>
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<summary>Click to view download instructions</summary>
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First, make sure you have hugginface-cli installed:
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```
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pip install -U "huggingface_hub[cli]"
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```
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Then, you can target the specific file you want:
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```
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huggingface-cli download https://huggingface.co/Antigma/Qwen3-8B-GGUF --include "qwen3-8b-q4_k_m.gguf" --local-dir ./
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```
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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:
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```
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huggingface-cli download https://huggingface.co/Antigma/Qwen3-8B-GGUF --include "qwen3-8b-q4_k_m.gguf/*" --local-dir ./
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```
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You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)
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</details>
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