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Quantization made by Richard Erkhov.

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algograpV4 - GGUF

Name Quant method Size
algograpV4.Q2_K.gguf Q2_K 3.77GB
algograpV4.Q3_K_S.gguf Q3_K_S 4.39GB
algograpV4.Q3_K.gguf Q3_K 4.88GB
algograpV4.Q3_K_M.gguf Q3_K_M 4.88GB
algograpV4.Q3_K_L.gguf Q3_K_L 5.31GB
algograpV4.IQ4_XS.gguf IQ4_XS 5.47GB
algograpV4.Q4_0.gguf Q4_0 5.7GB
algograpV4.IQ4_NL.gguf IQ4_NL 5.77GB
algograpV4.Q4_K_S.gguf Q4_K_S 5.75GB
algograpV4.Q4_K.gguf Q4_K 6.07GB
algograpV4.Q4_K_M.gguf Q4_K_M 6.07GB
algograpV4.Q4_1.gguf Q4_1 6.32GB
algograpV4.Q5_0.gguf Q5_0 6.94GB
algograpV4.Q5_K_S.gguf Q5_K_S 6.94GB
algograpV4.Q5_K.gguf Q5_K 7.13GB
algograpV4.Q5_K_M.gguf Q5_K_M 7.13GB
algograpV4.Q5_1.gguf Q5_1 7.56GB
algograpV4.Q6_K.gguf Q6_K 8.26GB
algograpV4.Q8_0.gguf Q8_0 10.69GB

Original model description:

library_name: transformers license: cc-by-nc-4.0 language: - ko

algograp-Inc/algograpV4

Model Details

  • Developed by: algograp-Inc
  • License: cc-by-nc-4.0

Hardware and Software

Method

  • This model was trained using the learning method introduced in the SOLAR paper.

Base Model

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llama

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