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My own (ZeroWw) quantizations. output and embed tensors quantized to f16. all other tensors quantized to q5_k or q6_k.

Result: both f16.q6 and f16.q5 are smaller than q8_0 standard quantization and they perform as well as the pure f16.

Note:
as of now, to run this model you must use: https://github.com/mnlife/llama.cpp
Later on the PR will be added to the main branch of llama.cpp

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212
GGUF
Model size
9.4B params
Architecture
chatglm

16-bit

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