localmodels/WizardLM-13B-v1.1-ggml

WizardLM 13B v1.1 ggml

From: https://huggingface.co/WizardLM/WizardLM-13B-V1.1

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Original llama.cpp quant methods: q4_0, q4_1, q5_0, q5_1, q8_0

Quantized using an older version of llama.cpp and compatible with llama.cpp from May 19, commit 2d5db48.

k-quant methods: q2_K, q3_K_S, q3_K_M, q3_K_L, q4_K_S, q4_K_M, q5_K_S, q6_K

Quantization methods compatible with latest llama.cpp from June 6, commit 2d43387.

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Files

Name	Quant method	Bits	Size	Max RAM required, no GPU offloading	Use case
wizardlm-13b-v1.1.ggmlv3.q2_K.bin	q2_K	2	5.67 GB	8.17 GB	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.
wizardlm-13b-v1.1.ggmlv3.q3_K_L.bin	q3_K_L	3	7.07 GB	9.57 GB	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
wizardlm-13b-v1.1.ggmlv3.q3_K_M.bin	q3_K_M	3	6.46 GB	8.96 GB	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
wizardlm-13b-v1.1.ggmlv3.q3_K_S.bin	q3_K_S	3	5.80 GB	8.30 GB	New k-quant method. Uses GGML_TYPE_Q3_K for all tensors
wizardlm-13b-v1.1.ggmlv3.q4_0.bin	q4_0	4	7.32 GB	9.82 GB	Original quant method, 4-bit.
wizardlm-13b-v1.1.ggmlv3.q4_1.bin	q4_1	4	8.14 GB	10.64 GB	Original quant method, 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.
wizardlm-13b-v1.1.ggmlv3.q4_K_M.bin	q4_K_M	4	7.99 GB	10.49 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
wizardlm-13b-v1.1.ggmlv3.q4_K_S.bin	q4_K_S	4	7.49 GB	9.99 GB	New k-quant method. Uses GGML_TYPE_Q4_K for all tensors
wizardlm-13b-v1.1.ggmlv3.q5_0.bin	q5_0	5	8.95 GB	11.45 GB	Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference.
wizardlm-13b-v1.1.ggmlv3.q5_1.bin	q5_1	5	9.76 GB	12.26 GB	Original quant method, 5-bit. Even higher accuracy, resource usage and slower inference.
wizardlm-13b-v1.1.ggmlv3.q5_K_M.bin	q5_K_M	5	9.33 GB	11.83 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-13b-v1.1.ggmlv3.q5_K_S.bin	q5_K_S	5	9.07 GB	11.57 GB	New k-quant method. Uses GGML_TYPE_Q5_K for all tensors
wizardlm-13b-v1.1.ggmlv3.q6_K.bin	q6_K	6	10.76 GB	13.26 GB	New k-quant method. Uses GGML_TYPE_Q8_K - 6-bit quantization - for all tensors
wizardlm-13b-v1.1.ggmlv3.q8_0.bin	q8_0	8	13.83 GB	16.33 GB	Original quant method, 8-bit. Almost indistinguishable from float16. High resource use and slow. Not recommended for most users.