GGUF
TensorBlock
GGUF
File size: 6,804 Bytes
479110a
 
 
 
 
 
 
 
 
 
 
 
 
cce71b3
 
 
 
 
 
 
479110a
 
 
 
 
 
 
68752e6
6ab114c
 
 
0949bdd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6ab114c
 
 
 
 
0949bdd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6ab114c
479110a
 
68752e6
479110a
 
 
 
 
 
 
 
68752e6
 
 
 
 
 
 
 
 
 
 
 
479110a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: other
license_name: deepseek-license
license_link: LICENSE
tags:
- TensorBlock
- GGUF
base_model: deepseek-ai/deepseek-coder-33b-base
---

<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)


## deepseek-ai/deepseek-coder-33b-base - GGUF

This repo contains GGUF format model files for [deepseek-ai/deepseek-coder-33b-base](https://huggingface.co/deepseek-ai/deepseek-coder-33b-base).

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


```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [deepseek-coder-33b-base-Q2_K.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q2_K.gguf) | Q2_K | 11.507 GB | smallest, significant quality loss - not recommended for most purposes |
| [deepseek-coder-33b-base-Q3_K_S.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q3_K_S.gguf) | Q3_K_S | 13.431 GB | very small, high quality loss |
| [deepseek-coder-33b-base-Q3_K_M.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q3_K_M.gguf) | Q3_K_M | 14.987 GB | very small, high quality loss |
| [deepseek-coder-33b-base-Q3_K_L.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q3_K_L.gguf) | Q3_K_L | 16.354 GB | small, substantial quality loss |
| [deepseek-coder-33b-base-Q4_0.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q4_0.gguf) | Q4_0 | 17.527 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [deepseek-coder-33b-base-Q4_K_S.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q4_K_S.gguf) | Q4_K_S | 17.642 GB | small, greater quality loss |
| [deepseek-coder-33b-base-Q4_K_M.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q4_K_M.gguf) | Q4_K_M | 18.571 GB | medium, balanced quality - recommended |
| [deepseek-coder-33b-base-Q5_0.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q5_0.gguf) | Q5_0 | 21.381 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [deepseek-coder-33b-base-Q5_K_S.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q5_K_S.gguf) | Q5_K_S | 21.381 GB | large, low quality loss - recommended |
| [deepseek-coder-33b-base-Q5_K_M.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q5_K_M.gguf) | Q5_K_M | 21.919 GB | large, very low quality loss - recommended |
| [deepseek-coder-33b-base-Q6_K.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q6_K.gguf) | Q6_K | 25.477 GB | very large, extremely low quality loss |
| [deepseek-coder-33b-base-Q8_0.gguf](https://huggingface.co/tensorblock/deepseek-coder-33b-base-GGUF/blob/main/deepseek-coder-33b-base-Q8_0.gguf) | Q8_0 | 32.997 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/deepseek-coder-33b-base-GGUF --include "deepseek-coder-33b-base-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/deepseek-coder-33b-base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```