README.md

---
inference: false
license: apache-2.0
tags:
- code
language:
- de
- en
quantized_by: VAGOsolutions
pipeline_tag: text-generation
base_model: VAGOsolutions/SauerkrautLM-1.5b
---

## Llamacpp GGUF Quantizations of SauerkrautLM-1.5b


Original model: https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b



## Prompt format

```
<|im_start|>system
You are SauerkrautLM, a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

```
<|im_start|>system
Du bist SauerkrautLM, ein hilfreicher KI-Assistent.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Download a file (not the whole branch) from below:

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [SauerkrautLM-1.5b-f16.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-f16.gguf) | f16 | 3.1GB | Highest quality (no quant) |
| [SauerkrautLM-1.5b-Q8_0.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q8_0.gguf) | Q8_0 | 1.6GB | Extremely high quality, generally unneeded but max available quant. |
| [SauerkrautLM-1.5b-Q6_K.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q6_K.gguf) | Q6_K | 1.3GB | Very high quality, near perfect, *recommended*. |
| [SauerkrautLM-1.5b-Q5_K_M.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q5_K_M.gguf) | Q5_K_M | 1.1GB | High quality, *recommended*. |
| [SauerkrautLM-1.5b-Q5_K_S.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q5_K_S.gguf) | Q5_K_S | 1.1GB | High quality, *recommended*. |
| [SauerkrautLM-1.5b-Q4_K_M.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q4_K_M.gguf) | Q4_K_M | 0.98GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
| [SauerkrautLM-1.5b-Q4_K_S.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q4_K_S.gguf) | Q4_K_S | 0.94GB | Slightly lower quality with more space savings, *recommended*. |

## Downloading using huggingface-cli

First, make sure you have hugginface-cli installed:

```
pip install -U "huggingface_hub[cli]"
```

Then, you can target the specific file you want:

```
huggingface-cli download VAGOsolutions/SauerkrautLM-1.5b.GGUF --include "SauerkrautLM-1.5b-Q4_K_M.gguf" --local-dir ./
```