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wizardlm-30b.ggmlv3.q2_K.bin
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q2_K
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2
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13.60 GB
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16.10 GB
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New k-quant method. Uses GGML_TYPE_Q4_K for the attention.vw and feed_forward.w2 tensors, GGML_TYPE_Q2_K for the other tensors.
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wizardlm-30b.ggmlv3.q3_K_L.bin
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q3_K_L
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3
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17.20 GB
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19.70 GB
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New k-quant method. Uses GGML_TYPE_Q5_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K
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wizardlm-30b.ggmlv3.q3_K_M.bin
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q3_K_M
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3
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15.64 GB
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18.14 GB
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New k-quant method. Uses GGML_TYPE_Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K
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wizardlm-30b.ggmlv3.q3_K_S.bin
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q3_K_S
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3
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13.98 GB
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16.48 GB
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New k-quant method. Uses GGML_TYPE_Q3_K for all tensors
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wizardlm-30b.ggmlv3.q4_0.bin
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q4_0
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4
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18.30 GB
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20.80 GB
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Original llama.cpp quant method, 4-bit.
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wizardlm-30b.ggmlv3.q4_1.bin
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q4_1
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4
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20.33 GB
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22.83 GB
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Original llama.cpp quant method, 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.
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wizardlm-30b.ggmlv3.q4_K_M.bin
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q4_K_M
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4
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19.57 GB
|
22.07 GB
|
New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q4_K
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wizardlm-30b.ggmlv3.q4_K_S.bin
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q4_K_S
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4
|
18.30 GB
|
20.80 GB
|
New k-quant method. Uses GGML_TYPE_Q4_K for all tensors
|
|
wizardlm-30b.ggmlv3.q5_0.bin
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q5_0
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5
|
22.37 GB
|
24.87 GB
|
Original llama.cpp quant method, 5-bit. Higher accuracy, higher resource usage and slower inference.
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|
wizardlm-30b.ggmlv3.q5_1.bin
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q5_1
|
5
|
24.40 GB
|
26.90 GB
|
Original llama.cpp quant method, 5-bit. Even higher accuracy, resource usage and slower inference.
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|
wizardlm-30b.ggmlv3.q5_K_M.bin
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q5_K_M
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5
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23.02 GB
|
25.52 GB
|
New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q5_K
|
|
wizardlm-30b.ggmlv3.q5_K_S.bin
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q5_K_S
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5
|
22.37 GB
|
24.87 GB
|
New k-quant method. Uses GGML_TYPE_Q5_K for all tensors
|
|
wizardlm-30b.ggmlv3.q6_K.bin
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q6_K
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6
|
26.69 GB
|
29.19 GB
|
New k-quant method. Uses GGML_TYPE_Q8_K - 6-bit quantization - for all tensors
|
|
wizardlm-30b.ggmlv3.q8_0.bin
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q8_0
|
8
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34.56 GB
|
37.06 GB
|
Original llama.cpp quant method, 8-bit. Almost indistinguishable from float16. High resource use and slow. Not recommended for most users.
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