Hugging Face's logo

tensorblock
/
Ko-Llama3-Luxia-8B-GGUF

Text Generation
GGUF
PyTorch
English
Korean
saltlux
luxia
meta
llama-3
TensorBlock
GGUF
conversational
Model card Files
xet
 Community
Ko-Llama3-Luxia-8B-GGUF
File size: 6,627 Bytes
14b8731
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d959010
 
 
 
 
 
 
14b8731
 
 
 
 
 
 
92db792
dc1aa2b
 
 
19df57f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dc1aa2b
 
 
 
 
19df57f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dc1aa2b
14b8731
 
92db792
14b8731
 
 
 
 
 
 
 
92db792
 
 
 
 
 
 
 
 
 
 
 
14b8731
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
---
license: llama3
language:
- en
- ko
pipeline_tag: text-generation
tags:
- saltlux
- luxia
- meta
- llama-3
- pytorch
- TensorBlock
- GGUF
base_model: saltlux/Ko-Llama3-Luxia-8B
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>

[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co)
[![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi)
[![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2)
[![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock)
[![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock)


## saltlux/Ko-Llama3-Luxia-8B - GGUF

This repo contains GGUF format model files for [saltlux/Ko-Llama3-Luxia-8B](https://huggingface.co/saltlux/Ko-Llama3-Luxia-8B).

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).


## Our projects
<table border="1" cellspacing="0" cellpadding="10">
  <tr>
    <th colspan="2" style="font-size: 25px;">Forge</th>
  </tr>
  <tr>
    <th colspan="2">
      <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
    </th>
  </tr>
  <tr>
    <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
  </tr>
  <tr>
    <th colspan="2">
      <a href="https://github.com/TensorBlock/forge" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">🚀 Try it now! 🚀</a>
    </th>
  </tr>

  <tr>
    <th style="font-size: 25px;">Awesome MCP Servers</th>
    <th style="font-size: 25px;">TensorBlock Studio</th>
  </tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
  <tr>
    <th>
      <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
    <th>
      <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
        display: inline-block;
        padding: 8px 16px;
        background-color: #FF7F50;
        color: white;
        text-decoration: none;
        border-radius: 6px;
        font-weight: bold;
        font-family: sans-serif;
      ">👀 See what we built 👀</a>
    </th>
  </tr>
</table>
## Prompt template


```
{system_prompt}{prompt}
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Ko-Llama3-Luxia-8B-Q2_K.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q2_K.gguf) | Q2_K | 3.038 GB | smallest, significant quality loss - not recommended for most purposes |
| [Ko-Llama3-Luxia-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q3_K_S.gguf) | Q3_K_S | 3.497 GB | very small, high quality loss |
| [Ko-Llama3-Luxia-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q3_K_M.gguf) | Q3_K_M | 3.827 GB | very small, high quality loss |
| [Ko-Llama3-Luxia-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q3_K_L.gguf) | Q3_K_L | 4.110 GB | small, substantial quality loss |
| [Ko-Llama3-Luxia-8B-Q4_0.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q4_0.gguf) | Q4_0 | 4.434 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Ko-Llama3-Luxia-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q4_K_S.gguf) | Q4_K_S | 4.464 GB | small, greater quality loss |
| [Ko-Llama3-Luxia-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q4_K_M.gguf) | Q4_K_M | 4.676 GB | medium, balanced quality - recommended |
| [Ko-Llama3-Luxia-8B-Q5_0.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q5_0.gguf) | Q5_0 | 5.316 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Ko-Llama3-Luxia-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q5_K_S.gguf) | Q5_K_S | 5.316 GB | large, low quality loss - recommended |
| [Ko-Llama3-Luxia-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q5_K_M.gguf) | Q5_K_M | 5.441 GB | large, very low quality loss - recommended |
| [Ko-Llama3-Luxia-8B-Q6_K.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q6_K.gguf) | Q6_K | 6.254 GB | very large, extremely low quality loss |
| [Ko-Llama3-Luxia-8B-Q8_0.gguf](https://huggingface.co/tensorblock/Ko-Llama3-Luxia-8B-GGUF/blob/main/Ko-Llama3-Luxia-8B-Q8_0.gguf) | Q8_0 | 8.097 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/Ko-Llama3-Luxia-8B-GGUF --include "Ko-Llama3-Luxia-8B-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/Ko-Llama3-Luxia-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```