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metadata
license: mit
language:
  - en
library_name: adapter-transformers

xriminact/TarsChattyBasev0.1 GGUF models converted using llama.cpp

Tables Are Cool
col 3 is right-aligned $1600
col 2 is centered $12
zebra stripes are neat $1

widget: table: Name: - TarsChattyBasev0.1-Q4_K_M.gguf - TarsChattyBasev0.1-Q5_K_M.gguf - TarsChattyBasev0.1-Q8_0.gguf Quant Method: - Q4_K_M - Q5_K_M - Q8_0 Bits: - 4 - 5 - 8 Size: - 4.37 GB - 5.13 GB - 7.70 GB Max RAM required: - ~6.5 GB - ~7.5 GB - ~10.5 GB Use case - balanced quality - large, very low quality loss - very large, extremely low quality loss