---
base_model: CortexCereal/uxux
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
- TensorBlock
- GGUF
license: apache-2.0
language:
- en
---

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## CortexCereal/uxux - GGUF

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    <a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
        Join our Discord to learn more about what we're building ↗
    </a>
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This repo contains GGUF format model files for [CortexCereal/uxux](https://huggingface.co/CortexCereal/uxux).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
<tr>
  <th style="font-size: 25px;">Awesome MCP Servers</th>
  <th style="font-size: 25px;">TensorBlock Studio</th>
</tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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  </tr>
<tr>
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    ">👀 See what we built 👀</a>
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</table>

## Prompt template

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

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

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

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [uxux-Q2_K.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q2_K.gguf) | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
| [uxux-Q3_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_S.gguf) | Q3_K_S | 3.665 GB | very small, high quality loss |
| [uxux-Q3_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_M.gguf) | Q3_K_M | 4.019 GB | very small, high quality loss |
| [uxux-Q3_K_L.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q3_K_L.gguf) | Q3_K_L | 4.322 GB | small, substantial quality loss |
| [uxux-Q4_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_0.gguf) | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [uxux-Q4_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_K_S.gguf) | Q4_K_S | 4.693 GB | small, greater quality loss |
| [uxux-Q4_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q4_K_M.gguf) | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
| [uxux-Q5_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_0.gguf) | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [uxux-Q5_K_S.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_K_S.gguf) | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
| [uxux-Q5_K_M.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q5_K_M.gguf) | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
| [uxux-Q6_K.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q6_K.gguf) | Q6_K | 6.596 GB | very large, extremely low quality loss |
| [uxux-Q8_0.gguf](https://huggingface.co/tensorblock/CortexCereal_uxux-GGUF/blob/main/uxux-Q8_0.gguf) | Q8_0 | 8.541 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/CortexCereal_uxux-GGUF --include "uxux-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/CortexCereal_uxux-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```