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C4AI-Command-R-v01-GGUF

Original Model

CohereForAI/c4ai-command-r-v01

Run with LlamaEdge

  • LlamaEdge version: coming soon

  • Context size: 8192

Quantized GGUF Models

Name Quant method Bits Size Use case
c4ai-command-r-v01-Q2_K.gguf Q2_K 2 13.8 GB smallest, significant quality loss - not recommended for most purposes
c4ai-command-r-v01-Q3_K_L.gguf Q3_K_L 3 19.1 GB small, substantial quality loss
c4ai-command-r-v01-Q3_K_M.gguf Q3_K_M 3 17.6 GB very small, high quality loss
c4ai-command-r-v01-Q3_K_S.gguf Q3_K_S 3 15.9 GB very small, high quality loss
c4ai-command-r-v01-Q4_0.gguf Q4_0 4 20.2 GB legacy; small, very high quality loss - prefer using Q3_K_M
c4ai-command-r-v01-Q4_K_M.gguf Q4_K_M 4 21.5 GB medium, balanced quality - recommended
c4ai-command-r-v01-Q4_K_S.gguf Q4_K_S 4 20.4 GB small, greater quality loss
c4ai-command-r-v01-Q5_0.gguf Q5_0 5 24.3 GB legacy; medium, balanced quality - prefer using Q4_K_M
c4ai-command-r-v01-Q5_K_M.gguf Q5_K_M 5 25 GB large, very low quality loss - recommended
c4ai-command-r-v01-Q5_K_S.gguf Q5_K_S 5 24.3 GB large, low quality loss - recommended
c4ai-command-r-v01-Q6_K.gguf Q6_K 6 28.7 GB very large, extremely low quality loss
c4ai-command-r-v01-Q8_0.gguf Q8_0 8 37.2 GB very large, extremely low quality loss - not recommended

Quantized with llama.cpp b2450

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