Melvin56/kanana-nano-2.1b-instruct-abliterated-GGUF

Original Model : huihui-ai/kanana-nano-2.1b-instruct-abliterated

All quants are made using the imatrix dataset.

Model Size (GB)
Q2_K_S 0.914
Q2_K 0.931
Q3_K_M 1.138
Q4_K_M 1.385
Q5_K_M 1.568
Q6_K 1.826
Q8_0 2.223
F16 4.177
F32 8.342
CPU (AVX2) CPU (ARM NEON) Metal cuBLAS rocBLAS SYCL CLBlast Vulkan Kompute
K-quants βœ… βœ… βœ… βœ… βœ… βœ… βœ… 🐒5 βœ… 🐒5 ❌
I-quants βœ… 🐒4 βœ… 🐒4 βœ… 🐒4 βœ… βœ… PartialΒΉ ❌ ❌ ❌
βœ…: feature works
🚫: feature does not work
❓: unknown, please contribute if you can test it youself
🐒: feature is slow
ΒΉ: IQ3_S and IQ1_S, see #5886
Β²: Only with -ngl 0
Β³: Inference is 50% slower
⁴: Slower than K-quants of comparable size
⁡: Slower than cuBLAS/rocBLAS on similar cards
⁢: Only q8_0 and iq4_nl
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GGUF
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2.09B params
Architecture
llama

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