---
license: agpl-3.0
tags:
- merge
- TensorBlock
- GGUF
base_model: BlouseJury/clown-70x1B
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
    <div style="display: flex; flex-direction: column; align-items: flex-start;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;">
            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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## BlouseJury/clown-70x1B - GGUF

This repo contains GGUF format model files for [BlouseJury/clown-70x1B](https://huggingface.co/BlouseJury/clown-70x1B).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

<div style="text-align: left; margin: 20px 0;">
    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
        Run them on the TensorBlock client using your local machine ↗
    </a>
</div>

## Prompt template

```
<|system|>
{system_prompt}</s>
<|user|>
{prompt}</s>
<|assistant|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [clown-70x1B-Q2_K.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q2_K.gguf) | Q2_K | 19.459 GB | smallest, significant quality loss - not recommended for most purposes |
| [clown-70x1B-Q3_K_S.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q3_K_S.gguf) | Q3_K_S | 23.082 GB | very small, high quality loss |
| [clown-70x1B-Q3_K_M.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q3_K_M.gguf) | Q3_K_M | 25.556 GB | very small, high quality loss |
| [clown-70x1B-Q3_K_L.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q3_K_L.gguf) | Q3_K_L | 27.689 GB | small, substantial quality loss |
| [clown-70x1B-Q4_0.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q4_0.gguf) | Q4_0 | 30.196 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [clown-70x1B-Q4_K_S.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q4_K_S.gguf) | Q4_K_S | 30.398 GB | small, greater quality loss |
| [clown-70x1B-Q4_K_M.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q4_K_M.gguf) | Q4_K_M | 32.279 GB | medium, balanced quality - recommended |
| [clown-70x1B-Q5_0.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q5_0.gguf) | Q5_0 | 36.891 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [clown-70x1B-Q5_K_S.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q5_K_S.gguf) | Q5_K_S | 36.891 GB | large, low quality loss - recommended |
| [clown-70x1B-Q5_K_M.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q5_K_M.gguf) | Q5_K_M | 37.964 GB | large, very low quality loss - recommended |
| [clown-70x1B-Q6_K.gguf](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q6_K.gguf) | Q6_K | 44.005 GB | very large, extremely low quality loss |
| [clown-70x1B-Q8_0](https://huggingface.co/tensorblock/clown-70x1B-GGUF/blob/main/clown-70x1B-Q8_0) | Q8_0 | 56.993 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/clown-70x1B-GGUF --include "clown-70x1B-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/clown-70x1B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```