mradermacher

mradermacher/Qwen2-Audio-7B-Instruct-i1-GGUF

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Model Documentation

About



quantize_version: 2 -->

output_tensor_quantised: 1 -->

convert_type: hf -->

vocab_type: -->

tags: nicoboss -->

weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2-Audio-7B-Instruct

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/Qwen2-Audio-7B-Instruct-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 | i1-IQ1_S | 2.2 | for the desperate | | GGUF | i1-IQ1_M | 2.3 | mostly desperate | | GGUF | i1-IQ2_XXS | 2.5 | | | GGUF | i1-IQ2_XS | 2.7 | | | GGUF | i1-IQ2_S | 2.9 | | | GGUF | i1-Q2_K_S | 3.0 | very low quality | | GGUF | i1-IQ2_M | 3.0 | | | GGUF | i1-Q2_K | 3.2 | IQ3_XXS probably better | | GGUF | i1-IQ3_XXS | 3.3 | lower quality | | GGUF | i1-IQ3_XS | 3.5 | | | GGUF | i1-IQ3_S | 3.7 | beats Q3_K* | | GGUF | i1-Q3_K_S | 3.7 | IQ3_XS probably better | | GGUF | i1-IQ3_M | 3.9 | | | GGUF | i1-Q3_K_M | 4.0 | IQ3_S probably better | | GGUF | i1-Q3_K_L | 4.3 | IQ3_M probably better | | GGUF | i1-IQ4_XS | 4.4 | | | GGUF | i1-IQ4_NL | 4.6 | prefer IQ4_XS | | GGUF | i1-Q4_0 | 4.6 | fast, low quality | | GGUF | i1-Q4_K_S | 4.7 | optimal size/speed/quality | | GGUF | i1-Q4_K_M | 4.9 | fast, recommended | | GGUF | i1-Q4_1 | 5.1 | | | GGUF | i1-Q5_K_S | 5.5 | | | GGUF | i1-Q5_K_M | 5.7 | | | GGUF | i1-Q6_K | 6.5 | 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
    Qwen2-Audio-7B-Instruct.i1-IQ1_M.gguf 2.02 GB
    Qwen2-Audio-7B-Instruct.i1-IQ1_S.gguf 1.91 GB
    Qwen2-Audio-7B-Instruct.i1-IQ2_M.gguf 2.73 GB
    Qwen2-Audio-7B-Instruct.i1-IQ2_S.gguf 2.58 GB
    Qwen2-Audio-7B-Instruct.i1-IQ2_XS.gguf 2.38 GB
    Qwen2-Audio-7B-Instruct.i1-IQ2_XXS.gguf 2.21 GB
    Qwen2-Audio-7B-Instruct.i1-IQ3_M.gguf 3.50 GB
    Qwen2-Audio-7B-Instruct.i1-IQ3_S.gguf 3.34 GB
    Qwen2-Audio-7B-Instruct.i1-IQ3_XS.gguf 3.20 GB
    Qwen2-Audio-7B-Instruct.i1-IQ3_XXS.gguf 2.94 GB
    Qwen2-Audio-7B-Instruct.i1-IQ4_NL.gguf 4.22 GB
    Qwen2-Audio-7B-Instruct.i1-IQ4_XS.gguf 4.02 GB
    Qwen2-Audio-7B-Instruct.i1-Q2_K.gguf 2.91 GB
    Qwen2-Audio-7B-Instruct.i1-Q2_K_S.gguf 2.71 GB
    Qwen2-Audio-7B-Instruct.i1-Q3_K_L.gguf 3.95 GB
    Qwen2-Audio-7B-Instruct.i1-Q3_K_M.gguf 3.67 GB
    Qwen2-Audio-7B-Instruct.i1-Q3_K_S.gguf 3.34 GB
    Qwen2-Audio-7B-Instruct.i1-Q4_0.gguf 4.23 GB
    Qwen2-Audio-7B-Instruct.i1-Q4_1.gguf 4.64 GB
    Qwen2-Audio-7B-Instruct.i1-Q4_K_M.gguf 4.46 GB
    Qwen2-Audio-7B-Instruct.i1-Q4_K_S.gguf 4.25 GB
    Qwen2-Audio-7B-Instruct.i1-Q5_K_M.gguf 5.17 GB
    Qwen2-Audio-7B-Instruct.i1-Q5_K_S.gguf 5.05 GB
    Qwen2-Audio-7B-Instruct.i1-Q6_K.gguf 5.93 GB