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Trendyol-Turkcell-7b-mixture-GGUF

GGUF
Merge
mergekit
lazymergekit
Trendyol/Trendyol-LLM-7b-chat-v1.0
TURKCELL/Turkcell-LLM-7b-v1
TensorBlock
GGUF
conversational
Model card Files Community
Trendyol-Turkcell-7b-mixture-GGUF
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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Trendyol/Trendyol-LLM-7b-chat-v1.0
- TURKCELL/Turkcell-LLM-7b-v1
- TensorBlock
- GGUF
base_model: burak/Trendyol-Turkcell-7b-mixture
---

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## burak/Trendyol-Turkcell-7b-mixture - GGUF

This repo contains GGUF format model files for [burak/Trendyol-Turkcell-7b-mixture](https://huggingface.co/burak/Trendyol-Turkcell-7b-mixture).

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).

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## Prompt template

```
<s>[INST] {prompt} [/INST]
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Trendyol-Turkcell-7b-mixture-Q2_K.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q2_K.gguf) | Q2_K | 2.587 GB | smallest, significant quality loss - not recommended for most purposes |
| [Trendyol-Turkcell-7b-mixture-Q3_K_S.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q3_K_S.gguf) | Q3_K_S | 3.006 GB | very small, high quality loss |
| [Trendyol-Turkcell-7b-mixture-Q3_K_M.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q3_K_M.gguf) | Q3_K_M | 3.336 GB | very small, high quality loss |
| [Trendyol-Turkcell-7b-mixture-Q3_K_L.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q3_K_L.gguf) | Q3_K_L | 3.619 GB | small, substantial quality loss |
| [Trendyol-Turkcell-7b-mixture-Q4_0.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q4_0.gguf) | Q4_0 | 3.892 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Trendyol-Turkcell-7b-mixture-Q4_K_S.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q4_K_S.gguf) | Q4_K_S | 3.921 GB | small, greater quality loss |
| [Trendyol-Turkcell-7b-mixture-Q4_K_M.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q4_K_M.gguf) | Q4_K_M | 4.134 GB | medium, balanced quality - recommended |
| [Trendyol-Turkcell-7b-mixture-Q5_0.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q5_0.gguf) | Q5_0 | 4.726 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Trendyol-Turkcell-7b-mixture-Q5_K_S.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q5_K_S.gguf) | Q5_K_S | 4.726 GB | large, low quality loss - recommended |
| [Trendyol-Turkcell-7b-mixture-Q5_K_M.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q5_K_M.gguf) | Q5_K_M | 4.850 GB | large, very low quality loss - recommended |
| [Trendyol-Turkcell-7b-mixture-Q6_K.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q6_K.gguf) | Q6_K | 5.611 GB | very large, extremely low quality loss |
| [Trendyol-Turkcell-7b-mixture-Q8_0.gguf](https://huggingface.co/tensorblock/Trendyol-Turkcell-7b-mixture-GGUF/blob/main/Trendyol-Turkcell-7b-mixture-Q8_0.gguf) | Q8_0 | 7.267 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/Trendyol-Turkcell-7b-mixture-GGUF --include "Trendyol-Turkcell-7b-mixture-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/Trendyol-Turkcell-7b-mixture-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```