---
base_model: ehartford/Wizard-Vicuna-13B-Uncensored
inference: false
library_name: transformers
license: other
model_creator: Eric Hartford
model_name: Wizard Vicuna 13B Uncensored
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
language:
- en
tags:
- uncensored
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
---

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# Wizard-Vicuna-13B-Uncensored-GGUF

## Original Model

[cognitivecomputations/Wizard-Vicuna-13B-Uncensored](https://huggingface.co/cognitivecomputations/Wizard-Vicuna-13B-Uncensored)

## Run with LlamaEdge

- LlamaEdge version: [v0.2.8](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.2.8) and above

- Prompt template

  - Prompt type: `vicuna-1.0-chat`

  - Prompt string

    ```text
    {system} USER: {prompt} ASSISTANT:
    ```

- Context size: `5120`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf llama-api-server.wasm -p vicuna-1.0-chat
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf llama-chat.wasm -p vicuna-1.0-chat
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Wizard-Vicuna-13B-Uncensored-Q2_K.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q2_K.gguf)     | Q2_K   | 2 | 4.85 GB| smallest, significant quality loss - not recommended for most purposes |
| [Wizard-Vicuna-13B-Uncensored-Q3_K_L.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q3_K_L.gguf) | Q3_K_L | 3 | 6.93 GB| small, substantial quality loss |
| [Wizard-Vicuna-13B-Uncensored-Q3_K_M.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q3_K_M.gguf) | Q3_K_M | 3 | 6.34 GB| very small, high quality loss |
| [Wizard-Vicuna-13B-Uncensored-Q3_K_S.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q3_K_S.gguf) | Q3_K_S | 3 | 5.66 GB| very small, high quality loss |
| [Wizard-Vicuna-13B-Uncensored-Q4_0.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q4_0.gguf)     | Q4_0   | 4 | 7.37 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Wizard-Vicuna-13B-Uncensored-Q4_K_M.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q4_K_M.gguf) | Q4_K_M | 4 | 7.87 GB| medium, balanced quality - recommended |
| [Wizard-Vicuna-13B-Uncensored-Q4_K_S.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q4_K_S.gguf) | Q4_K_S | 4 | 7.42 GB| small, greater quality loss |
| [Wizard-Vicuna-13B-Uncensored-Q5_0.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q5_0.gguf)     | Q5_0   | 5 | 8.97 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q5_K_M.gguf) | Q5_K_M | 5 | 9.23 GB| large, very low quality loss - recommended |
| [Wizard-Vicuna-13B-Uncensored-Q5_K_S.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q5_K_S.gguf) | Q5_K_S | 5 | 8.97 GB| large, low quality loss - recommended |
| [Wizard-Vicuna-13B-Uncensored-Q6_K.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q6_K.gguf)     | Q6_K   | 6 | 10.7 GB| very large, extremely low quality loss |
| [Wizard-Vicuna-13B-Uncensored-Q8_0.gguf](https://huggingface.co/second-state/Wizard-Vicuna-13B-Uncensored-GGUF/blob/main/Wizard-Vicuna-13B-Uncensored-Q8_0.gguf)     | Q8_0   | 8 | 13.8 GB| very large, extremely low quality loss - not recommended |