---
base_model: Tesslate/UIGEN-X-32B-0727
tags:
- text-generation-inference
- transformers
- qwen3
- ui-generation
- tailwind-css
- html
- reasoning
- step-by-step-generation
- hybrid-thinking
- tool-calling
- TensorBlock
- GGUF
license: apache-2.0
language:
- en
---
[](https://tensorblock.co)
[](https://twitter.com/tensorblock_aoi)
[](https://discord.gg/Ej5NmeHFf2)
[](https://github.com/TensorBlock)
[](https://t.me/TensorBlock)
## Tesslate/UIGEN-X-32B-0727 - GGUF
This repo contains GGUF format model files for [Tesslate/UIGEN-X-32B-0727](https://huggingface.co/Tesslate/UIGEN-X-32B-0727).
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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## 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 |
| -------- | ---------- | --------- | ----------- |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
| [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 |
## 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/Tesslate_UIGEN-X-32B-0727-GGUF --include "UIGEN-X-32B-0727-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/Tesslate_UIGEN-X-32B-0727-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```