---
license: cc-by-nc-4.0
language:
- pl
library_name: transformers
tags:
- finetuned
- TensorBlock
- GGUF
inference:
  parameters:
    temperature: 0.6
widget:
- messages:
  - role: user
    content: Co przedstawia polskie godło?
base_model: speakleash/Bielik-7B-Instruct-v0.1
---

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</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
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        <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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## speakleash/Bielik-7B-Instruct-v0.1 - GGUF

This repo contains GGUF format model files for [speakleash/Bielik-7B-Instruct-v0.1](https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1).

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).

## Prompt template

```
<s>[INST] <<SYS>>
{system_prompt}
<</SYS>>

{prompt} [/INST]
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Bielik-7B-Instruct-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
| [Bielik-7B-Instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
| [Bielik-7B-Instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
| [Bielik-7B-Instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
| [Bielik-7B-Instruct-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Bielik-7B-Instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
| [Bielik-7B-Instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
| [Bielik-7B-Instruct-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Bielik-7B-Instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
| [Bielik-7B-Instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
| [Bielik-7B-Instruct-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
| [Bielik-7B-Instruct-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/Bielik-7B-Instruct-v0.1-GGUF/tree/main/Bielik-7B-Instruct-v0.1-Q8_0.gguf) | Q8_0 | 7.167 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/Bielik-7B-Instruct-v0.1-GGUF --include "Bielik-7B-Instruct-v0.1-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/Bielik-7B-Instruct-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```