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.
CPU (AVX2) | CPU (ARM NEON) | Metal | cuBLAS | rocBLAS | SYCL | CLBlast | Vulkan | Kompute | |
---|---|---|---|---|---|---|---|---|---|
K-quants | โ | โ | โ | โ | โ | โ | โ ๐ข5 | โ ๐ข5 | โ |
I-quants | โ ๐ข4 | โ ๐ข4 | โ ๐ข4 | โ | โ | Partialยน | โ | โ | โ |
โ
: feature works
๐ซ: feature does not work
โ: unknown, please contribute if you can test it youself
๐ข: feature is slow
ยน: IQ3_S and IQ1_S, see #5886
ยฒ: Only with -ngl 0
ยณ: Inference is 50% slower
โด: Slower than K-quants of comparable size
โต: Slower than cuBLAS/rocBLAS on similar cards
โถ: Only q8_0 and iq4_nl
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Model tree for Melvin56/UIGEN-T2-7B-GGUF
Base model
Qwen/Qwen2.5-7B
Finetuned
Qwen/Qwen2.5-Coder-7B
Finetuned
Qwen/Qwen2.5-Coder-7B-Instruct
Adapter
Tesslate/UIGEN-T2-7B