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Yi 6B Chat - GGUF

Prompt template: ChatML

<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Provided files

Name Quant method Bits Size Max RAM required Use case
yi-chat-6b.Q2_K.gguf Q2_K 2 2.62 GB 5.12 GB smallest, significant quality loss - not recommended for most purposes
yi-chat-6b.Q3_K_S.gguf Q3_K_S 3 2.71 GB 5.21 GB very small, high quality loss
yi-chat-6b.Q3_K_M.gguf Q3_K_M 3 2.99 GB 5.49 GB very small, high quality loss
yi-chat-6b.Q3_K_L.gguf Q3_K_L 3 3.24 GB 5.74 GB small, substantial quality loss
yi-chat-6b.Q4_0.gguf Q4_0 4 3.48 GB 5.98 GB legacy; small, very high quality loss - prefer using Q3_K_M
yi-chat-6b.Q4_K_S.gguf Q4_K_S 4 3.50 GB 6.00 GB small, greater quality loss
yi-chat-6b.Q4_K_M.gguf Q4_K_M 4 3.67 GB 6.17 GB medium, balanced quality - recommended
yi-chat-6b.Q5_0.gguf Q5_0 5 4.20 GB 6.70 GB legacy; medium, balanced quality - prefer using Q4_K_M
yi-chat-6b.Q5_K_S.gguf Q5_K_S 5 4.20 GB 6.70 GB large, low quality loss - recommended
yi-chat-6b.Q5_K_M.gguf Q5_K_M 5 4.30 GB 6.80 GB large, very low quality loss - recommended
yi-chat-6b.Q6_K.gguf Q6_K 6 4.97 GB 7.47 GB very large, extremely low quality loss
yi-chat-6b.Q8_0.gguf Q8_0 8 6.44 GB 8.94 GB very large, extremely low quality loss - not recommended
yi-chat-6b.f16.gguf f16 16 12.2 GB 14 GB extremely large, minimal quality loss

Note: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead.

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