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Commencis LLM Quantized models and methods

Name Quant method Bits Size Use case
Commencis-LLM.Q2_K.gguf Q2_K 2 2.72 GB smallest, significant quality loss - not recommended for most purposes
Commencis-LLM.Q3_K_S.gguf Q3_K_S 3 3.16 GB very small, high quality loss
Commencis-LLM.Q3_K_M.gguf Q3_K_M 3 3.52 GB very small, high quality loss
Commencis-LLM.Q3_K_L.gguf Q3_K_L 3 3.82 GB small, substantial quality loss
Commencis-LLM.Q4_0.gguf Q4_0 4 4.11 GB legacy; small, very high quality loss - prefer using Q3_K_M
Commencis-LLM.Q4_K_S.gguf Q4_K_S 4 4.14 GB small, greater quality loss
Commencis-LLM.Q4_K_M.gguf Q4_K_M 4 4.37 GB medium, balanced quality - recommended
Commencis-LLM.Q5_0.gguf Q5_0 5 5 GB legacy; medium, balanced quality - prefer using Q4_K_M
Commencis-LLM.Q5_K_S.gguf Q5_K_S 5 5 GB large, low quality loss - recommended
Commencis-LLM.Q5_K_M.gguf Q5_K_M 5 5.13 GB large, very low quality loss - recommended
Commencis-LLM.Q6_K.gguf Q6_K 6 5.94 GB very large, extremely low quality loss
Commencis-LLM.Q8_0.gguf Q8_0 8 7.7 GB very large, extremely low quality loss - not recommended
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GGUF
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7.24B params
Architecture
llama

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