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Explanation of quantisation methods

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The new methods available are:

GGML_TYPE_Q3_K - "type-0" 3-bit quantization in super-blocks containing 16 blocks, each block having 16 weights. Scales are quantized with 6 bits. This end up using 3.4375 bpw.
GGML_TYPE_Q4_K - "type-1" 4-bit quantization in super-blocks containing 8 blocks, each block having 32 weights. Scales and mins are quantized with 6 bits. This ends up using 4.5 bpw.
GGML_TYPE_Q5_K - "type-1" 5-bit quantization. Same super-block structure as GGML_TYPE_Q4_K resulting in 5.5 bpw
GGML_TYPE_Q6_K - "type-0" 6-bit quantization. Super-blocks with 16 blocks, each block having 16 weights. Scales are quantized with 8 bits. This ends up using 6.5625 bpw

Refer to the Provided Files table below to see what files use which methods, and how.

Provided files

Name	Quantisation method	Bits	Size
LeetCodeWizard_7B_V1.1.Q3_K.gguf	Q3_K	3	3.3 GB
LeetCodeWizard_7B_V1.1.Q4_0.gguf	Q4_0	4	3.83 GB
LeetCodeWizard_7B_V1.1.Q4_1.gguf	Q4_1	4	4.24 GB
LeetCodeWizard_7B_V1.1.Q5_0.gguf	Q5_0	5	4.65 GB
LeetCodeWizard_7B_V1.1.Q5_1.gguf	Q5_1	5	5.06 GB
LeetCodeWizard_7B_V1.1.Q6_K.gguf	Q6_K	6	5.53 GB
LeetCodeWizard_7B_V1.1.Q8_0.gguf	Q8_0	8	7.16 GB

Nan-Do/LeetCodeWizard_7B_V1.1-GGUF

LeetCodeWizard 7B V1.1 - GGUF

Description

Prompt template: Alpaca

Explanation of quantisation methods

Provided files

Nan-Do/
LeetCodeWizard_7B_V1.1-GGUF