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ChatAllInOne-Yi-34B-200K-V1-GGUF

Original Model

DrNicefellow/ChatAllInOne-Yi-34B-200K-V1

Run with LlamaEdge

• LlamaEdge version: coming soon

• Prompt template

  • Prompt type: vicuna-1.1-chat

  • Prompt string

    USER: {prompt}
    ASSISTANT:
    

• Context size: 7168

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
ChatAllInOne-Yi-34B-200K-V1-Q2_K.gguf	Q2_K	2	12.8 GB	smallest, significant quality loss - not recommended for most purposes
ChatAllInOne-Yi-34B-200K-V1-Q3_K_L.gguf	Q3_K_L	3	18.1 GB	small, substantial quality loss
ChatAllInOne-Yi-34B-200K-V1-Q3_K_M.gguf	Q3_K_M	3	16.7 GB	very small, high quality loss
ChatAllInOne-Yi-34B-200K-V1-Q3_K_S.gguf	Q3_K_S	3	15 GB	very small, high quality loss
ChatAllInOne-Yi-34B-200K-V1-Q4_0.gguf	Q4_0	4	19.5 GB	legacy; small, very high quality loss - prefer using Q3_K_M
ChatAllInOne-Yi-34B-200K-V1-Q4_K_M.gguf	Q4_K_M	4	20.7 GB	medium, balanced quality - recommended
ChatAllInOne-Yi-34B-200K-V1-Q4_K_S.gguf	Q4_K_S	4	19.6 GB	small, greater quality loss
ChatAllInOne-Yi-34B-200K-V1-Q5_0.gguf	Q5_0	5	23.7 GB	legacy; medium, balanced quality - prefer using Q4_K_M
ChatAllInOne-Yi-34B-200K-V1-Q5_K_M.gguf	Q5_K_M	5	24.3 GB	large, very low quality loss - recommended
ChatAllInOne-Yi-34B-200K-V1-Q5_K_S.gguf	Q5_K_S	5	23.7 GB	large, low quality loss - recommended
ChatAllInOne-Yi-34B-200K-V1-Q6_K.gguf	Q6_K	6	28.2 GB	very large, extremely low quality loss
ChatAllInOne-Yi-34B-200K-V1-Q8_0.gguf	Q8_0	8	36.5 GB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2334