---
base_model: OuteAI/OuteTTS-0.2-500M
license: cc-by-nc-4.0
model_creator: OuteAI
model_name: OuteTTS-0.2-500M
quantized_by: Second State Inc.
language:
- en
- zh
- ja
- ko
pipeline_tag: text-to-speech
---

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# OuteTTS-0.2-500M-GGUF

## Original Model

[OuteAI/OuteTTS-0.2-500M](https://huggingface.co/OuteAI/OuteTTS-0.2-500M)

## Run with LlamaEdge

- LlamaEdge version: coming soon

<!-- - LlamaEdge version: [v0.14.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.3) and above -->

<!-- - Prompt template

  - Prompt type: `llama-3-chat`

  - Prompt string

    ```text
    <|begin_of_text|><|start_header_id|>system<|end_header_id|>

    {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

    {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
    ```

- Context size: `8192`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:OuteTTS-0.2-500M-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name OuteTTS-0.2-500M \
    --prompt-template llama-3-chat \
    --ctx-size 8192
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:OuteTTS-0.2-500M-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template llama-3-chat \
    --ctx-size 8192
  ``` -->

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [OuteTTS-0.2-500M-Q2_K.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q2_K.gguf)     | Q2_K   | 2 | 344 MB| smallest, significant quality loss - not recommended for most purposes |
| [OuteTTS-0.2-500M-Q3_K_L.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q3_K_L.gguf) | Q3_K_L | 3 | 375 MB| small, substantial quality loss |
| [OuteTTS-0.2-500M-Q3_K_M.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q3_K_M.gguf) | Q3_K_M | 3 | 361 MB| very small, high quality loss |
| [OuteTTS-0.2-500M-Q3_K_S.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q3_K_S.gguf) | Q3_K_S | 3 | 344 MB| very small, high quality loss |
| [OuteTTS-0.2-500M-Q4_0.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q4_0.gguf)     | Q4_0   | 4 | 358 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [OuteTTS-0.2-500M-Q4_K_M.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q4_K_M.gguf) | Q4_K_M | 4 | 403 MB| medium, balanced quality - recommended |
| [OuteTTS-0.2-500M-Q4_K_S.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q4_K_S.gguf) | Q4_K_S | 4 | 391 MB| small, greater quality loss |
| [OuteTTS-0.2-500M-Q5_0.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q5_0.gguf)     | Q5_0   | 5 | 402 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [OuteTTS-0.2-500M-Q5_K_M.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q5_K_M.gguf) | Q5_K_M | 5 | 426 MB| large, very low quality loss - recommended |
| [OuteTTS-0.2-500M-Q5_K_S.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q5_K_S.gguf) | Q5_K_S | 5 | 418 MB| large, low quality loss - recommended |
| [OuteTTS-0.2-500M-Q6_K.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q6_K.gguf)     | Q6_K   | 6 | 511 MB| very large, extremely low quality loss |
| [OuteTTS-0.2-500M-Q8_0.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q8_0.gguf)     | Q8_0   | 8 | 537 MB| very large, extremely low quality loss - not recommended |
| [OuteTTS-0.2-500M-f16.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-f16.gguf)       | f16    | 16 | 1.00 GB| |
| [wavtokenizer-large-75-ggml-f16.gguf](https://huggingface.co/second-state/OuteTTS-0.2-500M-GGUF/blob/main/wavtokenizer-large-75-ggml-f16.gguf)       | f16    | 16 | 1.00 GB| |

*Quantized with llama.cpp b4381*