Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +161 -0
- UIGEN-X-32B-0727-Q2_K.gguf +3 -0
- UIGEN-X-32B-0727-Q3_K_L.gguf +3 -0
- UIGEN-X-32B-0727-Q3_K_M.gguf +3 -0
- UIGEN-X-32B-0727-Q3_K_S.gguf +3 -0
- UIGEN-X-32B-0727-Q4_0.gguf +3 -0
- UIGEN-X-32B-0727-Q4_K_M.gguf +3 -0
- UIGEN-X-32B-0727-Q4_K_S.gguf +3 -0
- UIGEN-X-32B-0727-Q5_0.gguf +3 -0
- UIGEN-X-32B-0727-Q5_K_M.gguf +3 -0
- UIGEN-X-32B-0727-Q5_K_S.gguf +3 -0
- UIGEN-X-32B-0727-Q6_K.gguf +3 -0
- UIGEN-X-32B-0727-Q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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UIGEN-X-32B-0727-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
+
---
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2 |
+
base_model: Tesslate/UIGEN-X-32B-0727
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+
tags:
|
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+
- text-generation-inference
|
5 |
+
- transformers
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6 |
+
- qwen3
|
7 |
+
- ui-generation
|
8 |
+
- tailwind-css
|
9 |
+
- html
|
10 |
+
- reasoning
|
11 |
+
- step-by-step-generation
|
12 |
+
- hybrid-thinking
|
13 |
+
- tool-calling
|
14 |
+
- TensorBlock
|
15 |
+
- GGUF
|
16 |
+
license: apache-2.0
|
17 |
+
language:
|
18 |
+
- en
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19 |
+
---
|
20 |
+
|
21 |
+
<div style="width: auto; margin-left: auto; margin-right: auto">
|
22 |
+
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
|
23 |
+
</div>
|
24 |
+
|
25 |
+
[](https://tensorblock.co)
|
26 |
+
[](https://twitter.com/tensorblock_aoi)
|
27 |
+
[](https://discord.gg/Ej5NmeHFf2)
|
28 |
+
[](https://github.com/TensorBlock)
|
29 |
+
[](https://t.me/TensorBlock)
|
30 |
+
|
31 |
+
|
32 |
+
## Tesslate/UIGEN-X-32B-0727 - GGUF
|
33 |
+
|
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+
<div style="text-align: left; margin: 20px 0;">
|
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+
<a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
|
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+
Join our Discord to learn more about what we're building ↗
|
37 |
+
</a>
|
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+
</div>
|
39 |
+
|
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+
This repo contains GGUF format model files for [Tesslate/UIGEN-X-32B-0727](https://huggingface.co/Tesslate/UIGEN-X-32B-0727).
|
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+
|
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+
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).
|
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+
|
44 |
+
## Our projects
|
45 |
+
<table border="1" cellspacing="0" cellpadding="10">
|
46 |
+
<tr>
|
47 |
+
<th colspan="2" style="font-size: 25px;">Forge</th>
|
48 |
+
</tr>
|
49 |
+
<tr>
|
50 |
+
<th colspan="2">
|
51 |
+
<img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/>
|
52 |
+
</th>
|
53 |
+
</tr>
|
54 |
+
<tr>
|
55 |
+
<th colspan="2">An OpenAI-compatible multi-provider routing layer.</th>
|
56 |
+
</tr>
|
57 |
+
<tr>
|
58 |
+
<th colspan="2">
|
59 |
+
<a href="https://github.com/TensorBlock/forge" target="_blank" style="
|
60 |
+
display: inline-block;
|
61 |
+
padding: 8px 16px;
|
62 |
+
background-color: #FF7F50;
|
63 |
+
color: white;
|
64 |
+
text-decoration: none;
|
65 |
+
border-radius: 6px;
|
66 |
+
font-weight: bold;
|
67 |
+
font-family: sans-serif;
|
68 |
+
">🚀 Try it now! 🚀</a>
|
69 |
+
</th>
|
70 |
+
</tr>
|
71 |
+
|
72 |
+
<tr>
|
73 |
+
<th style="font-size: 25px;">Awesome MCP Servers</th>
|
74 |
+
<th style="font-size: 25px;">TensorBlock Studio</th>
|
75 |
+
</tr>
|
76 |
+
<tr>
|
77 |
+
<th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th>
|
78 |
+
<th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th>
|
79 |
+
</tr>
|
80 |
+
<tr>
|
81 |
+
<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
|
82 |
+
<th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
|
83 |
+
</tr>
|
84 |
+
<tr>
|
85 |
+
<th>
|
86 |
+
<a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
|
87 |
+
display: inline-block;
|
88 |
+
padding: 8px 16px;
|
89 |
+
background-color: #FF7F50;
|
90 |
+
color: white;
|
91 |
+
text-decoration: none;
|
92 |
+
border-radius: 6px;
|
93 |
+
font-weight: bold;
|
94 |
+
font-family: sans-serif;
|
95 |
+
">👀 See what we built 👀</a>
|
96 |
+
</th>
|
97 |
+
<th>
|
98 |
+
<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
|
99 |
+
display: inline-block;
|
100 |
+
padding: 8px 16px;
|
101 |
+
background-color: #FF7F50;
|
102 |
+
color: white;
|
103 |
+
text-decoration: none;
|
104 |
+
border-radius: 6px;
|
105 |
+
font-weight: bold;
|
106 |
+
font-family: sans-serif;
|
107 |
+
">👀 See what we built 👀</a>
|
108 |
+
</th>
|
109 |
+
</tr>
|
110 |
+
</table>
|
111 |
+
|
112 |
+
## Prompt template
|
113 |
+
|
114 |
+
```
|
115 |
+
<|im_start|>system
|
116 |
+
{system_prompt}<|im_end|>
|
117 |
+
<|im_start|>user
|
118 |
+
{prompt}<|im_end|>
|
119 |
+
<|im_start|>assistant
|
120 |
+
<think>
|
121 |
+
```
|
122 |
+
|
123 |
+
## Model file specification
|
124 |
+
|
125 |
+
| Filename | Quant type | File Size | Description |
|
126 |
+
| -------- | ---------- | --------- | ----------- |
|
127 |
+
| [UIGEN-X-32B-0727-Q2_K.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q2_K.gguf) | Q2_K | 12.345 GB | smallest, significant quality loss - not recommended for most purposes |
|
128 |
+
| [UIGEN-X-32B-0727-Q3_K_S.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q3_K_S.gguf) | Q3_K_S | 14.390 GB | very small, high quality loss |
|
129 |
+
| [UIGEN-X-32B-0727-Q3_K_M.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q3_K_M.gguf) | Q3_K_M | 15.972 GB | very small, high quality loss |
|
130 |
+
| [UIGEN-X-32B-0727-Q3_K_L.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q3_K_L.gguf) | Q3_K_L | 17.331 GB | small, substantial quality loss |
|
131 |
+
| [UIGEN-X-32B-0727-Q4_0.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q4_0.gguf) | Q4_0 | 18.638 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
|
132 |
+
| [UIGEN-X-32B-0727-Q4_K_S.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q4_K_S.gguf) | Q4_K_S | 18.771 GB | small, greater quality loss |
|
133 |
+
| [UIGEN-X-32B-0727-Q4_K_M.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q4_K_M.gguf) | Q4_K_M | 19.762 GB | medium, balanced quality - recommended |
|
134 |
+
| [UIGEN-X-32B-0727-Q5_0.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q5_0.gguf) | Q5_0 | 22.635 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
|
135 |
+
| [UIGEN-X-32B-0727-Q5_K_S.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q5_K_S.gguf) | Q5_K_S | 22.635 GB | large, low quality loss - recommended |
|
136 |
+
| [UIGEN-X-32B-0727-Q5_K_M.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q5_K_M.gguf) | Q5_K_M | 23.215 GB | large, very low quality loss - recommended |
|
137 |
+
| [UIGEN-X-32B-0727-Q6_K.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q6_K.gguf) | Q6_K | 26.883 GB | very large, extremely low quality loss |
|
138 |
+
| [UIGEN-X-32B-0727-Q8_0.gguf](https://huggingface.co/tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF/blob/main/UIGEN-X-32B-0727-Q8_0.gguf) | Q8_0 | 34.818 GB | very large, extremely low quality loss - not recommended |
|
139 |
+
|
140 |
+
|
141 |
+
## Downloading instruction
|
142 |
+
|
143 |
+
### Command line
|
144 |
+
|
145 |
+
Firstly, install Huggingface Client
|
146 |
+
|
147 |
+
```shell
|
148 |
+
pip install -U "huggingface_hub[cli]"
|
149 |
+
```
|
150 |
+
|
151 |
+
Then, downoad the individual model file the a local directory
|
152 |
+
|
153 |
+
```shell
|
154 |
+
huggingface-cli download tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF --include "UIGEN-X-32B-0727-Q2_K.gguf" --local-dir MY_LOCAL_DIR
|
155 |
+
```
|
156 |
+
|
157 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
158 |
+
|
159 |
+
```shell
|
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+
huggingface-cli download tensorblock/Tesslate_UIGEN-X-32B-0727-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
|
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+
```
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UIGEN-X-32B-0727-Q2_K.gguf
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UIGEN-X-32B-0727-Q3_K_L.gguf
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