Melvin56/UIGEN-T2-7B-GGUF
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Model: Melvin56/UIGEN-T2-7B-GGUF
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---
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
```

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