---
quantized_by: Nondzu
pipeline_tag: text-generation
base_model: CYFRAGOVPL/Llama-PLLuM-70B-chat
license: llama3.1
---

# Llama-PLLuM-70B-chat GGUF Quantizations by Nondzu

DISCLAIMER: This is state of the art quantized model. I am not the author of the original model. I am only hosting the quantized models. I do not take any responsibility for the models.

This repository contains GGUF quantized versions of the [Llama-PLLuM-70B-chat](https://huggingface.co/CYFRAGOVPL/Llama-PLLuM-70B-chat) model. All quantizations were performed using the  [llama.cpp](https://github.com/ggerganov/llama.cpp) (release [b4765](https://github.com/ggml-org/llama.cpp/releases/tag/b4765)). These quantized models can be run in [LM Studio](https://lmstudio.ai/) or any other llama.cpp–based project.

## Prompt Format

Use the following prompt structure:
```
???
```

## Available Files

Below is a list of available quantized model files along with their quantization type, file size, whether the file is split, and a short description.

| Filename                                                                              | Quant Type | File Size | Split | Description                                                                                   |
| ------------------------------------------------------------------------------------- | ---------- | --------- | ----- | --------------------------------------------------------------------------------------------- |
| [Llama-PLLuM-70B-chat-Q2_K.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q2_K       | 25 GB     | No    | Very low quality but surprisingly usable.                                                   |
| [Llama-PLLuM-70B-chat-Q3_K.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q3_K       | 32 GB     | No    | Low quality, suitable for setups with very limited RAM.                                       |
| [Llama-PLLuM-70B-chat-Q3_K_L.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q3_K_L     | 35 GB     | No    | High quality; recommended for quality-focused usage.                                          |
| [Llama-PLLuM-70B-chat-Q3_K_M.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q3_K_M     | 32 GB     | No    | Very high quality, near perfect output – recommended.                                         |
| [Llama-PLLuM-70B-chat-Q3_K_S.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q3_K_S     | 29 GB     | No    | Moderate quality with improved space efficiency.                                              |
| [Llama-PLLuM-70B-chat-Q4_K.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q4_K       | 40 GB     | No    | Good quality for standard use.                                                                |
| [Llama-PLLuM-70B-chat-Q4_K_M.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q4_K_M     | 40 GB     | No    | Default quality for most use cases – recommended.                                             |
| [Llama-PLLuM-70B-chat-Q4_K_S.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q4_K_S     | 38 GB     | No    | Slightly lower quality with enhanced space savings – recommended when size is a priority.       |
| [Llama-PLLuM-70B-chat-Q5_0.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q5_0       | 46 GB     | No    | Extremely high quality – the maximum quant available.                                         |
| [Llama-PLLuM-70B-chat-Q5_K.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q5_K       | 47 GB     | No    | Very high quality – recommended for demanding use cases.                                      |
| [Llama-PLLuM-70B-chat-Q5_K_M.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q5_K_M     | 47 GB     | No    | High quality – recommended.                                                                   |
| [Llama-PLLuM-70B-chat-Q5_K_S.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)  | Q5_K_S     | 46 GB     | No    | High quality, offered as an alternative with minimal quality loss.                            |
| [Llama-PLLuM-70B-chat-Q4_0.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q4_0       | 38 GB     | No    | Legacy format offering online repacking for ARM/AVX CPU inference.                             |
| [Llama-PLLuM-70B-chat-Q6_K.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q6_K       | 54 GB     | Yes   | Very high quality with quantized embed/output weights. Split into 2 parts due to file size.     |
|    • Part 1: [Q6_K-00001-of-00002.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main) (37 GB)  
   • Part 2: [Q6_K-00002-of-00002.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main) (18 GB) |            |           |       |                                                                                               |
| [Llama-PLLuM-70B-chat-Q8_0.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main)    | Q8_0       | 70 GB     | Yes   | Maximum quality quantization. Available either as a single file or split into 2 parts.          |
|    • Part 1: [Q8_0.gguf-00001-of-00002.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main) (37 GB)  
   • Part 2: [Q8_0.gguf-00002-of-00002.gguf](https://huggingface.co/Nondzu/Llama-PLLuM-70B-chat-GGUF/tree/main) (34 GB) |            |           |       |                                                                                               |

*Files marked as "split" must be downloaded in full (all parts) to obtain the complete quantized model.

## Downloading Using Hugging Face CLI

<details>
  <summary>Click to view download instructions</summary>

First, ensure you have the Hugging Face CLI installed:

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

Then, target a specific file to download:

```bash
huggingface-cli download Nondzu/Llama-PLLuM-70B-chat-GGUF --include "Llama-PLLuM-70B-chat-Q4_K_M.gguf" --local-dir ./
```

For files larger than 50 GB that are split into multiple parts, use a wildcard to download all parts at once:

```bash
huggingface-cli download Nondzu/Llama-PLLuM-70B-chat-GGUF --include "Llama-PLLuM-70B-chat-Q8_0/*" --local-dir ./
```

You can specify a new local directory (e.g., `Llama-PLLuM-70B-chat-Q8_0`) or download them directly into the current directory (`./`).

</details>