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---
license: apache-2.0
language:
- en
- de
- es
- fr
- it
- pt
- pl
- nl
- tr
- sv
- cs
- el
- hu
- ro
- fi
- uk
- sl
- sk
- da
- lt
- lv
- et
- bg
- 'no'
- ca
- hr
- ga
- mt
- gl
- zh
- ru
- ko
- ja
- ar
- hi
library_name: transformers
base_model: utter-project/EuroMoE-2.6B-A0.6B-Instruct-Preview
tags:
- TensorBlock
- GGUF
---

<div style="width: auto; margin-left: auto; margin-right: auto">
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## utter-project/EuroMoE-2.6B-A0.6B-Instruct-Preview - GGUF

<div style="text-align: left; margin: 20px 0;">
    <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>
</div>

This repo contains GGUF format model files for [utter-project/EuroMoE-2.6B-A0.6B-Instruct-Preview](https://huggingface.co/utter-project/EuroMoE-2.6B-A0.6B-Instruct-Preview).

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).

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## Prompt template

```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q2_K.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q2_K.gguf) | Q2_K | 1.016 GB | smallest, significant quality loss - not recommended for most purposes |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_S.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_S.gguf) | Q3_K_S | 1.182 GB | very small, high quality loss |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_M.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_M.gguf) | Q3_K_M | 1.298 GB | very small, high quality loss |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_L.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q3_K_L.gguf) | Q3_K_L | 1.398 GB | small, substantial quality loss |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_0.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_0.gguf) | Q4_0 | 1.511 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_K_S.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_K_S.gguf) | Q4_K_S | 1.524 GB | small, greater quality loss |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_K_M.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q4_K_M.gguf) | Q4_K_M | 1.616 GB | medium, balanced quality - recommended |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_0.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_0.gguf) | Q5_0 | 1.821 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_K_S.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_K_S.gguf) | Q5_K_S | 1.821 GB | large, low quality loss - recommended |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_K_M.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q5_K_M.gguf) | Q5_K_M | 1.875 GB | large, very low quality loss - recommended |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q6_K.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q6_K.gguf) | Q6_K | 2.151 GB | very large, extremely low quality loss |
| [EuroMoE-2.6B-A0.6B-Instruct-Preview-Q8_0.gguf](https://huggingface.co/tensorblock/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF/blob/main/EuroMoE-2.6B-A0.6B-Instruct-Preview-Q8_0.gguf) | Q8_0 | 2.783 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/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF --include "EuroMoE-2.6B-A0.6B-Instruct-Preview-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/utter-project_EuroMoE-2.6B-A0.6B-Instruct-Preview-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```