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Qwen3-30B-A3B-Thinking-2507-GGUF
Original Model
Qwen/Qwen3-30B-A3B-Thinking-2507
Run with LlamaEdge
- LlamaEdge version: coming soon
<!-- - LlamaEdge version:
- Thinking: [v0.17.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.17.0) and above
- 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
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Prompt string
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
<!-- - Prompt type: `qwen3-no-think`
- Prompt string
```text
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{user_message_1}<|im_end|>
<|im_start|>assistant
{assistant_message_1}<|im_end|>
<|im_start|>user
{user_message_2}<|im_end|>
<|im_start|>assistant
<think>
</think>
``` -->
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Context size: 256000
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Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen3-30B-A3B-Thinking-2507-Q5_K_M.gguf \
llama-api-server.wasm \
--model-name Qwen3-30B-A3B-Thinking-2507 \
--prompt-template chatml \
--ctx-size 256000
<!-- ## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen3-30B-A3B-Thinking-2507-Q2_K.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q2_K.gguf) | Q2_K | 2 | 3.28 GB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen3-30B-A3B-Thinking-2507-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q3_K_L.gguf) | Q3_K_L | 3 | 4.43 GB| small, substantial quality loss |
| [Qwen3-30B-A3B-Thinking-2507-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q3_K_M.gguf) | Q3_K_M | 3 | 4.12 GB| very small, high quality loss |
| [Qwen3-30B-A3B-Thinking-2507-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q3_K_S.gguf) | Q3_K_S | 3 | 3.77 GB| very small, high quality loss |
| [Qwen3-30B-A3B-Thinking-2507-Q4_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q4_0.gguf) | Q4_0 | 4 | 4.77 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen3-30B-A3B-Thinking-2507-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q4_K_M.gguf) | Q4_K_M | 4 | 5.03 GB| medium, balanced quality - recommended |
| [Qwen3-30B-A3B-Thinking-2507-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q4_K_S.gguf) | Q4_K_S | 4 | 4.80 GB| small, greater quality loss |
| [Qwen3-30B-A3B-Thinking-2507-Q5_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q5_0.gguf) | Q5_0 | 5 | 5.72 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen3-30B-A3B-Thinking-2507-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q5_K_M.gguf) | Q5_K_M | 5 | 5.85 GB| large, very low quality loss - recommended |
| [Qwen3-30B-A3B-Thinking-2507-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q5_K_S.gguf) | Q5_K_S | 5 | 5.72 GB| large, low quality loss - recommended |
| [Qwen3-30B-A3B-Thinking-2507-Q6_K.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q6_K.gguf) | Q6_K | 6 | 6.73 GB| very large, extremely low quality loss |
| [Qwen3-30B-A3B-Thinking-2507-Q8_0.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-Q8_0.gguf) | Q8_0 | 8 | 8.71 GB| very large, extremely low quality loss - not recommended |
| [Qwen3-30B-A3B-Thinking-2507-f16.gguf](https://huggingface.co/second-state/Qwen3-30B-A3B-Thinking-2507-GGUF/blob/main/Qwen3-30B-A3B-Thinking-2507-f16.gguf) | f16 | 16 | 16.4 GB| | -->
Quantized with llama.cpp b6031
