---
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
datasets:
- teknium/OpenHermes-2.5
- m-a-p/Code-Feedback
- m-a-p/CodeFeedback-Filtered-Instruction
- abacusai/SystemChat
language:
- en
tags:
- TensorBlock
- GGUF
base_model: abacusai/Liberated-Qwen1.5-14B
---

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## abacusai/Liberated-Qwen1.5-14B - GGUF

This repo contains GGUF format model files for [abacusai/Liberated-Qwen1.5-14B](https://huggingface.co/abacusai/Liberated-Qwen1.5-14B).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

<div style="text-align: left; margin: 20px 0;">
    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
        Run them on the TensorBlock client using your local machine ↗
    </a>
</div>

## 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 |
| -------- | ---------- | --------- | ----------- |
| [Liberated-Qwen1.5-14B-Q2_K.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q2_K.gguf) | Q2_K | 5.912 GB | smallest, significant quality loss - not recommended for most purposes |
| [Liberated-Qwen1.5-14B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q3_K_S.gguf) | Q3_K_S | 6.774 GB | very small, high quality loss |
| [Liberated-Qwen1.5-14B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q3_K_M.gguf) | Q3_K_M | 7.418 GB | very small, high quality loss |
| [Liberated-Qwen1.5-14B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q3_K_L.gguf) | Q3_K_L | 7.840 GB | small, substantial quality loss |
| [Liberated-Qwen1.5-14B-Q4_0.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q4_0.gguf) | Q4_0 | 8.179 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Liberated-Qwen1.5-14B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q4_K_S.gguf) | Q4_K_S | 8.565 GB | small, greater quality loss |
| [Liberated-Qwen1.5-14B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q4_K_M.gguf) | Q4_K_M | 9.191 GB | medium, balanced quality - recommended |
| [Liberated-Qwen1.5-14B-Q5_0.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q5_0.gguf) | Q5_0 | 9.853 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Liberated-Qwen1.5-14B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q5_K_S.gguf) | Q5_K_S | 10.028 GB | large, low quality loss - recommended |
| [Liberated-Qwen1.5-14B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q5_K_M.gguf) | Q5_K_M | 10.536 GB | large, very low quality loss - recommended |
| [Liberated-Qwen1.5-14B-Q6_K.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q6_K.gguf) | Q6_K | 12.310 GB | very large, extremely low quality loss |
| [Liberated-Qwen1.5-14B-Q8_0.gguf](https://huggingface.co/tensorblock/Liberated-Qwen1.5-14B-GGUF/blob/main/Liberated-Qwen1.5-14B-Q8_0.gguf) | Q8_0 | 15.062 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/Liberated-Qwen1.5-14B-GGUF --include "Liberated-Qwen1.5-14B-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/Liberated-Qwen1.5-14B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```