mradermacher

mradermacher/next-12b-i1-GGUF

basemodel: thelamapi/next-12b - mlabonne/FineTome-100k - ITCL/FineTomeOs - Gryphe/ChatGPT-4o-Writing-Prompts - dongguanting/ARPO-SFT-54K - G...

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/thelamapi/next-12b

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/next-12b-GGUF

This is a vision model
  • mmproj files (if any) will be in the static repository.
  • 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 | 3.0 | for the desperate | | GGUF | i1-IQ1_M | 3.3 | mostly desperate | | GGUF | i1-IQ2_XXS | 3.6 | | | GGUF | i1-IQ2_XS | 3.9 | | | GGUF | i1-IQ2_S | 4.1 | | | GGUF | i1-IQ2_M | 4.4 | | | GGUF | i1-Q2_K_S | 4.5 | very low quality | | GGUF | i1-Q2_K | 4.9 | IQ3_XXS probably better | | GGUF | i1-IQ3_XXS | 4.9 | lower quality | | GGUF | i1-IQ3_XS | 5.3 | | | GGUF | i1-IQ3_S | 5.6 | beats Q3_K* | | GGUF | i1-Q3_K_S | 5.6 | IQ3_XS probably better | | GGUF | i1-IQ3_M | 5.8 | | | GGUF | i1-Q3_K_M | 6.1 | IQ3_S probably better | | GGUF | i1-Q3_K_L | 6.6 | IQ3_M probably better | | GGUF | i1-IQ4_XS | 6.7 | | | GGUF | i1-IQ4_NL | 7.0 | prefer IQ4_XS | | GGUF | i1-Q4_0 | 7.0 | fast, low quality | | GGUF | i1-Q4_K_S | 7.0 | optimal size/speed/quality | | GGUF | i1-Q4_K_M | 7.4 | fast, recommended | | GGUF | i1-Q4_1 | 7.7 | | | GGUF | i1-Q5_K_S | 8.3 | | | GGUF | i1-Q5_K_M | 8.5 | | | GGUF | i1-Q6_K | 9.8 | 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.

    end -->

    Files & Weights

    FilenameSizeAction
    next-12b.i1-IQ1_M.gguf 2.95 GB
    next-12b.i1-IQ1_S.gguf 2.74 GB
    next-12b.i1-IQ2_M.gguf 4.01 GB
    next-12b.i1-IQ2_S.gguf 3.74 GB
    next-12b.i1-IQ2_XS.gguf 3.58 GB
    next-12b.i1-IQ2_XXS.gguf 3.28 GB
    next-12b.i1-IQ3_M.gguf 5.27 GB
    next-12b.i1-IQ3_S.gguf 5.08 GB
    next-12b.i1-IQ3_XS.gguf 4.85 GB
    next-12b.i1-IQ3_XXS.gguf 4.46 GB
    next-12b.i1-IQ4_NL.gguf 6.41 GB
    next-12b.i1-IQ4_XS.gguf 6.10 GB
    next-12b.i1-Q2_K.gguf 4.44 GB
    next-12b.i1-Q2_K_S.gguf 4.14 GB
    next-12b.i1-Q3_K_L.gguf 6.04 GB
    next-12b.i1-Q3_K_M.gguf 5.60 GB
    next-12b.i1-Q3_K_S.gguf 5.08 GB
    next-12b.i1-Q4_0.gguf 6.43 GB
    next-12b.i1-Q4_1.gguf 7.04 GB
    next-12b.i1-Q4_K_M.gguf 6.80 GB
    next-12b.i1-Q4_K_S.gguf 6.46 GB
    next-12b.i1-Q5_K_M.gguf 7.87 GB
    next-12b.i1-Q5_K_S.gguf 7.67 GB
    next-12b.i1-Q6_K.gguf 9.00 GB
    next-12b.imatrix.gguf 0.01 GB