---
base_model:
- Tesslate/UIGEN-T2-7B
tags:
- qwen2
- ui-generation
- tailwind-css
- html
license: apache-2.0
language:
- en
pipeline_tag: text-generation
---
# Melvin56/UIGEN-T2-7B-GGUF

Original Model : [Tesslate/UIGEN-T2-7B](https://huggingface.co/Tesslate/UIGEN-T2-7B)

Llama.cpp build: 5219 (7d3af70b)

I used imatrix to create all these quants using this [Dataset](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8).

---

|               | CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute |
| :------------ | :---------: | :------------: | :---: | :----: | :-----: | :---: | :------: | :----: | :------: |
| K-quants      |      ✅     |       ✅      |   ✅  |   ✅   |    ✅   |  ✅  |   ✅ 🐢5  |  ✅ 🐢5 |    ❌    |
| I-quants      |    ✅ 🐢4   |     ✅ 🐢4    |  ✅ 🐢4 |   ✅   |    ✅   | Partial¹ |    ❌    |   ❌  |    ❌    |
```
✅: feature works
🚫: feature does not work
❓: unknown, please contribute if you can test it youself
🐢: feature is slow
¹: IQ3_S and IQ1_S, see #5886
²: Only with -ngl 0
³: Inference is 50% slower
⁴: Slower than K-quants of comparable size
⁵: Slower than cuBLAS/rocBLAS on similar cards
⁶: Only q8_0 and iq4_nl
```