---
pipeline_tag: text-generation
library_name: transformers
language:
- en
thumbnail: '"https://cdn-uploads.huggingface.co/production/uploads/62f93f9477b722f1866398c2/69escIKmO-vEzFUj_m0WX.png"'
tags:
- text-generation
- uncensored
- direct-answer
- information-retrieval
- general-knowledge
- unfiltered
- amoral-ai
- TensorBlock
- GGUF
base_model: soob3123/GrayLine-Qwen3-14B
datasets:
- soob3123/GrayLine-QA
- soob3123/GrayLine-QA-Reasoning
license: apache-2.0
---

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## soob3123/GrayLine-Qwen3-14B - GGUF

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        Join our Discord to learn more about what we're building ↗
    </a>
</div>

This repo contains GGUF format model files for [soob3123/GrayLine-Qwen3-14B](https://huggingface.co/soob3123/GrayLine-Qwen3-14B).

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 |
| -------- | ---------- | --------- | ----------- |
| [GrayLine-Qwen3-14B-Q2_K.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q2_K.gguf) | Q2_K | 5.754 GB | smallest, significant quality loss - not recommended for most purposes |
| [GrayLine-Qwen3-14B-Q3_K_S.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q3_K_S.gguf) | Q3_K_S | 6.657 GB | very small, high quality loss |
| [GrayLine-Qwen3-14B-Q3_K_M.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q3_K_M.gguf) | Q3_K_M | 7.321 GB | very small, high quality loss |
| [GrayLine-Qwen3-14B-Q3_K_L.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q3_K_L.gguf) | Q3_K_L | 7.901 GB | small, substantial quality loss |
| [GrayLine-Qwen3-14B-Q4_0.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q4_0.gguf) | Q4_0 | 8.515 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [GrayLine-Qwen3-14B-Q4_K_S.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q4_K_S.gguf) | Q4_K_S | 8.573 GB | small, greater quality loss |
| [GrayLine-Qwen3-14B-Q4_K_M.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q4_K_M.gguf) | Q4_K_M | 9.002 GB | medium, balanced quality - recommended |
| [GrayLine-Qwen3-14B-Q5_0.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q5_0.gguf) | Q5_0 | 10.264 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [GrayLine-Qwen3-14B-Q5_K_S.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q5_K_S.gguf) | Q5_K_S | 10.264 GB | large, low quality loss - recommended |
| [GrayLine-Qwen3-14B-Q5_K_M.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q5_K_M.gguf) | Q5_K_M | 10.515 GB | large, very low quality loss - recommended |
| [GrayLine-Qwen3-14B-Q6_K.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q6_K.gguf) | Q6_K | 12.122 GB | very large, extremely low quality loss |
| [GrayLine-Qwen3-14B-Q8_0.gguf](https://huggingface.co/tensorblock/soob3123_GrayLine-Qwen3-14B-GGUF/blob/main/GrayLine-Qwen3-14B-Q8_0.gguf) | Q8_0 | 15.699 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/soob3123_GrayLine-Qwen3-14B-GGUF --include "GrayLine-Qwen3-14B-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/soob3123_GrayLine-Qwen3-14B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```