THUDM

/

codegeex4-all-9b

like 229

Follow

Knowledge Engineering Group (KEG) & Data Mining at Tsinghua University 1,198

These are my own quantizations (updated almost daily).
The difference with normal quantizations is that I quantize the output and embed tensors to f16.
and the other tensors to 15_k,q6_k or q8_0.
This creates models that are little or not degraded at all and have a smaller size.
They run at about 3-6 t/sec on CPU only using llama.cpp
And obviously faster on computers with potent GPUs

• ZeroWw/codegeex4-all-9b-GGUF