File size: 6,414 Bytes

---
license: apache-2.0
language:
- fr
- en
tags:
- code
- TensorBlock
- GGUF
widget:
- text: <s> [|User|] Comment faire un bon plat ? </s>[|Assistant|]
base_model: teilomillet/MiniMerlin-3B
---

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## teilomillet/MiniMerlin-3B - GGUF

This repo contains GGUF format model files for [teilomillet/MiniMerlin-3B](https://huggingface.co/teilomillet/MiniMerlin-3B).

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">
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        display: inline-block;
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      ">🚀 Try it now! 🚀</a>
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      ">👀 See what we built 👀</a>
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</table>
## Prompt template

```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [MiniMerlin-3B-Q2_K.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q2_K.gguf) | Q2_K | 1.094 GB | smallest, significant quality loss - not recommended for most purposes |
| [MiniMerlin-3B-Q3_K_S.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q3_K_S.gguf) | Q3_K_S | 1.265 GB | very small, high quality loss |
| [MiniMerlin-3B-Q3_K_M.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q3_K_M.gguf) | Q3_K_M | 1.401 GB | very small, high quality loss |
| [MiniMerlin-3B-Q3_K_L.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q3_K_L.gguf) | Q3_K_L | 1.519 GB | small, substantial quality loss |
| [MiniMerlin-3B-Q4_0.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q4_0.gguf) | Q4_0 | 1.620 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [MiniMerlin-3B-Q4_K_S.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q4_K_S.gguf) | Q4_K_S | 1.633 GB | small, greater quality loss |
| [MiniMerlin-3B-Q4_K_M.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q4_K_M.gguf) | Q4_K_M | 1.720 GB | medium, balanced quality - recommended |
| [MiniMerlin-3B-Q5_0.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q5_0.gguf) | Q5_0 | 1.954 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [MiniMerlin-3B-Q5_K_S.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q5_K_S.gguf) | Q5_K_S | 1.954 GB | large, low quality loss - recommended |
| [MiniMerlin-3B-Q5_K_M.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q5_K_M.gguf) | Q5_K_M | 2.005 GB | large, very low quality loss - recommended |
| [MiniMerlin-3B-Q6_K.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q6_K.gguf) | Q6_K | 2.309 GB | very large, extremely low quality loss |
| [MiniMerlin-3B-Q8_0.gguf](https://huggingface.co/tensorblock/MiniMerlin-3B-GGUF/blob/main/MiniMerlin-3B-Q8_0.gguf) | Q8_0 | 2.990 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/MiniMerlin-3B-GGUF --include "MiniMerlin-3B-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/MiniMerlin-3B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```