Model: Melvin56/UIGEN-T2-7B-GGUF Source: Original Platform
base_model, tags, license, language, pipeline_tag
| base_model | tags | license | language | pipeline_tag | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
apache-2.0 |
|
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.
| 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
Description