mradermacher

mradermacher/drkernel-14b-i1-GGUF

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Model Documentation

About



quantize_version: 2 -->

output_tensor_quantised: 1 -->

convert_type: hf -->

vocab_type: -->

tags: nicoboss -->

quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->

quants_skip: -->

skip_mmproj: -->

weighted/imatrix quants of https://huggingface.co/hkust-nlp/drkernel-14b

provided-files -->

*For a convenient overview and download list, visit our model page for this model.*

static quants are available at https://huggingface.co/mradermacher/drkernel-14b-GGUF

Usage



If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files.

Provided Quants



(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | GGUF | imatrix | 0.1 | imatrix file (for creating your own quants) | | GGUF | i1-IQ1_S | 3.7 | for the desperate | | GGUF | i1-IQ1_M | 3.9 | mostly desperate | | GGUF | i1-IQ2_XXS | 4.4 | | | GGUF | i1-IQ2_XS | 4.8 | | | GGUF | i1-IQ2_S | 5.1 | | | GGUF | i1-IQ2_M | 5.4 | | | GGUF | i1-Q2_K_S | 5.5 | very low quality | | GGUF | i1-Q2_K | 5.9 | IQ3_XXS probably better | | GGUF | i1-IQ3_XXS | 6.0 | lower quality | | GGUF | i1-IQ3_XS | 6.5 | | | GGUF | i1-Q3_K_S | 6.8 | IQ3_XS probably better | | GGUF | i1-IQ3_S | 6.8 | beats Q3_K* | | GGUF | i1-IQ3_M | 7.0 | | | GGUF | i1-Q3_K_M | 7.4 | IQ3_S probably better | | GGUF | i1-Q3_K_L | 8.0 | IQ3_M probably better | | GGUF | i1-IQ4_XS | 8.2 | | | GGUF | i1-IQ4_NL | 8.6 | prefer IQ4_XS | | GGUF | i1-Q4_0 | 8.6 | fast, low quality | | GGUF | i1-Q4_K_S | 8.7 | optimal size/speed/quality | | GGUF | i1-Q4_K_M | 9.1 | fast, recommended | | GGUF | i1-Q4_1 | 9.5 | | | GGUF | i1-Q5_K_S | 10.4 | | | GGUF | i1-Q5_K_M | 10.6 | | | GGUF | i1-Q6_K | 12.2 | practically like static Q6_K |

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request



See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks



I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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Files & Weights

FilenameSizeAction
drkernel-14b.i1-IQ1_M.gguf 3.59 GB
drkernel-14b.i1-IQ1_S.gguf 3.33 GB
drkernel-14b.i1-IQ2_M.gguf 4.96 GB
drkernel-14b.i1-IQ2_S.gguf 4.62 GB
drkernel-14b.i1-IQ2_XS.gguf 4.37 GB
drkernel-14b.i1-IQ2_XXS.gguf 4.00 GB
drkernel-14b.i1-IQ3_M.gguf 6.41 GB
drkernel-14b.i1-IQ3_S.gguf 6.23 GB
drkernel-14b.i1-IQ3_XS.gguf 5.94 GB
drkernel-14b.i1-IQ3_XXS.gguf 5.53 GB
drkernel-14b.i1-IQ4_NL.gguf 7.95 GB
drkernel-14b.i1-IQ4_XS.gguf 7.55 GB
drkernel-14b.i1-Q2_K.gguf 5.36 GB
drkernel-14b.i1-Q2_K_S.gguf 5.02 GB
drkernel-14b.i1-Q3_K_L.gguf 7.36 GB
drkernel-14b.i1-Q3_K_M.gguf 6.82 GB
drkernel-14b.i1-Q3_K_S.gguf 6.20 GB
drkernel-14b.i1-Q4_0.gguf 7.96 GB
drkernel-14b.i1-Q4_1.gguf 8.74 GB
drkernel-14b.i1-Q4_K_M.gguf 8.38 GB
drkernel-14b.i1-Q4_K_S.gguf 7.98 GB
drkernel-14b.i1-Q5_K_M.gguf 9.79 GB
drkernel-14b.i1-Q5_K_S.gguf 9.56 GB
drkernel-14b.i1-Q6_K.gguf 11.29 GB
drkernel-14b.imatrix.gguf 0.01 GB