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README.md
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base_model: second-state/Qwen3-30B-A3B-GGUF
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/LICENSE
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model_creator: Qwen
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model_name: Qwen3-30B-A3B
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quantized_by: Second State Inc.
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Qwen3-30B-A3B-GGUF
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## Original Model
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[second-state/Qwen3-30B-A3B-GGUF](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF)
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## Run with LlamaEdge
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*Quantized with llama.cpp b5097*
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---
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base_model: second-state/Qwen3-30B-A3B-GGUF
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license: other
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license_name: qwen-research
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license_link: https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/LICENSE
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model_creator: Qwen
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model_name: Qwen3-30B-A3B
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quantized_by: Second State Inc.
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Qwen3-30B-A3B-GGUF
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## Original Model
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[second-state/Qwen3-30B-A3B-GGUF](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF)
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## Run with LlamaEdge
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- LlamaEdge version:
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- Thinking: [v0.17.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.17.0) and above
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- No Thinking: [v0.18.2](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.18.2)
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- Prompt template
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- Prompt type: `chatml` (for thinking)
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- Prompt string
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```text
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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- Prompt type: `qwen3-no-think` (for no thinking)
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- Prompt string
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```text
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<|im_start|>system
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{system_message}<|im_end|>
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<|im_start|>user
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{user_message_1}<|im_end|>
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<|im_start|>assistant
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{assistant_message_1}<|im_end|>
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<|im_start|>user
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{user_message_2}<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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```
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- Context size: `128000`
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen3-30B-A3B-Q5_K_M.gguf \
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llama-api-server.wasm \
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--model-name Qwen3-30B-A3B \
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--prompt-template chatml \
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--ctx-size 128000
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```
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<!-- ## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [Qwen3-30B-A3B-Q2_K.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q2_K.gguf) | Q2_K | 2 | 3.28 GB| smallest, significant quality loss - not recommended for most purposes |
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| [Qwen3-30B-A3B-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q3_K_L.gguf) | Q3_K_L | 3 | 4.43 GB| small, substantial quality loss |
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| [Qwen3-30B-A3B-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q3_K_M.gguf) | Q3_K_M | 3 | 4.12 GB| very small, high quality loss |
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| [Qwen3-30B-A3B-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q3_K_S.gguf) | Q3_K_S | 3 | 3.77 GB| very small, high quality loss |
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| [Qwen3-30B-A3B-Q4_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q4_0.gguf) | Q4_0 | 4 | 4.77 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Qwen3-30B-A3B-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q4_K_M.gguf) | Q4_K_M | 4 | 5.03 GB| medium, balanced quality - recommended |
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| [Qwen3-30B-A3B-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q4_K_S.gguf) | Q4_K_S | 4 | 4.80 GB| small, greater quality loss |
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| [Qwen3-30B-A3B-Q5_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q5_0.gguf) | Q5_0 | 5 | 5.72 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Qwen3-30B-A3B-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q5_K_M.gguf) | Q5_K_M | 5 | 5.85 GB| large, very low quality loss - recommended |
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| [Qwen3-30B-A3B-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q5_K_S.gguf) | Q5_K_S | 5 | 5.72 GB| large, low quality loss - recommended |
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| [Qwen3-30B-A3B-Q6_K.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q6_K.gguf) | Q6_K | 6 | 6.73 GB| very large, extremely low quality loss |
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| [Qwen3-30B-A3B-Q8_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-Q8_0.gguf) | Q8_0 | 8 | 8.71 GB| very large, extremely low quality loss - not recommended |
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| [Qwen3-30B-A3B-f16.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-GGUF/blob/main/Qwen3-30B-A3B-f16.gguf) | f16 | 16 | 16.4 GB| | -->
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*Quantized with llama.cpp b5097*
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