39 lines
1.2 KiB
Markdown
39 lines
1.2 KiB
Markdown
|
---
|
||
|
|
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
|
||
|
|
```
|