Hugging Face's logo

tensorblock
/
Qwen2-Math-7B-Instruct-GGUF

Text Generation
GGUF
English
chat
TensorBlock
GGUF
conversational
Model card Files
xet
Community
Qwen2-Math-7B-Instruct-GGUF
File size: 6,827 Bytes 
65701fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6cdea8e
 
 
 
 
 
 
65701fe
 
 
 
 
 
 
444d141
ee0c032
 
 
b3f111c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ee0c032
 
 
 
 
b3f111c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ee0c032
65701fe
 
444d141
65701fe
 
 
 
 
 
 
 
 
 
 
 
444d141
 
 
 
 
 
 
 
 
 
 
 
65701fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- chat
- TensorBlock
- GGUF
base_model: Qwen/Qwen2-Math-7B-Instruct
---

<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)


## Qwen/Qwen2-Math-7B-Instruct - GGUF

This repo contains GGUF format model files for [Qwen/Qwen2-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2-Math-7B-Instruct).

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


```
<|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 |
| -------- | ---------- | --------- | ----------- |
| [Qwen2-Math-7B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q2_K.gguf) | Q2_K | 2.809 GB | smallest, significant quality loss - not recommended for most purposes |
| [Qwen2-Math-7B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3.253 GB | very small, high quality loss |
| [Qwen2-Math-7B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3.547 GB | very small, high quality loss |
| [Qwen2-Math-7B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3.808 GB | small, substantial quality loss |
| [Qwen2-Math-7B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q4_0.gguf) | Q4_0 | 4.127 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Qwen2-Math-7B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4.152 GB | small, greater quality loss |
| [Qwen2-Math-7B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4.361 GB | medium, balanced quality - recommended |
| [Qwen2-Math-7B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q5_0.gguf) | Q5_0 | 4.950 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Qwen2-Math-7B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q5_K_S.gguf) | Q5_K_S | 4.950 GB | large, low quality loss - recommended |
| [Qwen2-Math-7B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5.071 GB | large, very low quality loss - recommended |
| [Qwen2-Math-7B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q6_K.gguf) | Q6_K | 5.825 GB | very large, extremely low quality loss |
| [Qwen2-Math-7B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/Qwen2-Math-7B-Instruct-GGUF/blob/main/Qwen2-Math-7B-Instruct-Q8_0.gguf) | Q8_0 | 7.542 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/Qwen2-Math-7B-Instruct-GGUF --include "Qwen2-Math-7B-Instruct-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/Qwen2-Math-7B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```