---
base_model: Qwen/Qwen3-32B
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen3-32B/blob/main/LICENSE
model_creator: Qwen
model_name: Qwen3-32B
quantized_by: Second State Inc.
---

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# Qwen3-32B-GGUF

## Original Model

[Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B)

## Run with LlamaEdge

- 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)

- Prompt template

  - Prompt type: `chatml` (for thinking)

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

  - Prompt type: `qwen3-no-think` (for no thinking)
 
  - 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>
    ```

- Context size: `128000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Qwen3-32B-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Qwen3-32B \
    --prompt-template chatml \
    --ctx-size 128000
  ```

<!-- ## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Qwen3-32B-Q2_K.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q2_K.gguf)     | Q2_K   | 2 | 3.28 GB| smallest, significant quality loss - not recommended for most purposes |
| [Qwen3-32B-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q3_K_L.gguf) | Q3_K_L | 3 | 4.43 GB| small, substantial quality loss |
| [Qwen3-32B-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q3_K_M.gguf) | Q3_K_M | 3 | 4.12 GB| very small, high quality loss |
| [Qwen3-32B-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q3_K_S.gguf) | Q3_K_S | 3 | 3.77 GB| very small, high quality loss |
| [Qwen3-32B-Q4_0.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q4_0.gguf)     | Q4_0   | 4 | 4.77 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen3-32B-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q4_K_M.gguf) | Q4_K_M | 4 | 5.03 GB| medium, balanced quality - recommended |
| [Qwen3-32B-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q4_K_S.gguf) | Q4_K_S | 4 | 4.80 GB| small, greater quality loss |
| [Qwen3-32B-Q5_0.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q5_0.gguf)     | Q5_0   | 5 | 5.72 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen3-32B-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q5_K_M.gguf) | Q5_K_M | 5 | 5.85 GB| large, very low quality loss - recommended |
| [Qwen3-32B-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q5_K_S.gguf) | Q5_K_S | 5 | 5.72 GB| large, low quality loss - recommended |
| [Qwen3-32B-Q6_K.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q6_K.gguf)     | Q6_K   | 6 | 6.73 GB| very large, extremely low quality loss |
| [Qwen3-32B-Q8_0.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-Q8_0.gguf)     | Q8_0   | 8 | 8.71 GB| very large, extremely low quality loss - not recommended |
| [Qwen3-32B-f16.gguf](https://huggingface.co/second-state/Qwen3-32B-GGUF/blob/main/Qwen3-32B-f16.gguf)       | f16    | 16 | 16.4 GB| | -->

*Quantized with llama.cpp b5097*