初始化项目，由ModelHub XC社区提供模型

Model: Melvin56/UIGEN-T2-7B-GGUF
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+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
+```