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---
library_name: transformers
tags:
- MistraMystic
- Conversational AI
- Personality
- Persona-dialogue
- Dialogue-systems
- Human-like assistant
- Mistral-7B
- Mistral
- TensorBlock
- GGUF
base_model: choco58/MistraMystic
---
<div style="width: auto; margin-left: auto; margin-right: auto">
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</div>
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[](https://github.com/TensorBlock)
[](https://t.me/TensorBlock)
## choco58/MistraMystic - GGUF
This repo contains GGUF format model files for [choco58/MistraMystic](https://huggingface.co/choco58/MistraMystic).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
## Our projects
<table border="1" cellspacing="0" cellpadding="10">
<tr>
<th colspan="2" style="font-size: 25px;">Forge</th>
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<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
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<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
</tr>
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<a href="https://github.com/TensorBlock/forge" target="_blank" style="
display: inline-block;
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">π Try it now! π</a>
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<th style="font-size: 25px;">Awesome MCP Servers</th>
<th style="font-size: 25px;">TensorBlock Studio</th>
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
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<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
display: inline-block;
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color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">π See what we built π</a>
</th>
<th>
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
display: inline-block;
padding: 8px 16px;
background-color: #FF7F50;
color: white;
text-decoration: none;
border-radius: 6px;
font-weight: bold;
font-family: sans-serif;
">π See what we built π</a>
</th>
</tr>
</table>
## Prompt template
```
<s>[INST] {prompt}[/INST]
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [MistraMystic-Q2_K.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q2_K.gguf) | Q2_K | 2.536 GB | smallest, significant quality loss - not recommended for most purposes |
| [MistraMystic-Q3_K_S.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q3_K_S.gguf) | Q3_K_S | 2.951 GB | very small, high quality loss |
| [MistraMystic-Q3_K_M.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q3_K_M.gguf) | Q3_K_M | 3.281 GB | very small, high quality loss |
| [MistraMystic-Q3_K_L.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q3_K_L.gguf) | Q3_K_L | 3.563 GB | small, substantial quality loss |
| [MistraMystic-Q4_0.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q4_0.gguf) | Q4_0 | 3.831 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [MistraMystic-Q4_K_S.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q4_K_S.gguf) | Q4_K_S | 3.860 GB | small, greater quality loss |
| [MistraMystic-Q4_K_M.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q4_K_M.gguf) | Q4_K_M | 4.072 GB | medium, balanced quality - recommended |
| [MistraMystic-Q5_0.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q5_0.gguf) | Q5_0 | 4.659 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [MistraMystic-Q5_K_S.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q5_K_S.gguf) | Q5_K_S | 4.659 GB | large, low quality loss - recommended |
| [MistraMystic-Q5_K_M.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
| [MistraMystic-Q6_K.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q6_K.gguf) | Q6_K | 5.539 GB | very large, extremely low quality loss |
| [MistraMystic-Q8_0.gguf](https://huggingface.co/tensorblock/MistraMystic-GGUF/blob/main/MistraMystic-Q8_0.gguf) | Q8_0 | 7.174 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/MistraMystic-GGUF --include "MistraMystic-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/MistraMystic-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
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