UIGEN-T2-7B-GGUF/README.md

base_model, tags, license, language, pipeline_tag

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

Melvin56/UIGEN-T2-7B-GGUF

Original Model : Tesslate/UIGEN-T2-7B

Llama.cpp build: 5219 (7d3af70b)

I used imatrix to create all these quants using this Dataset.

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	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