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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