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LoopTool 8B I1 GGUF

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

KindOtherBase modelzhangkangning/LoopTool-8BVersionRevision 586c0a5Publisher@mradermacherCgrade

Model source

Kind
Other
File size
5.10 MB–6.26 GB
Base model
zhangkangning/LoopTool-8B
Version
vRevision 586c0a5
Updated
Oct 3, 2026
Publisher
@mradermacher
Downloads
510
Parameters
8B
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/zhangkangning/LoopTool-8B

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

static quants are available at https://huggingface.co/mradermacher/LoopTool-8B-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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)

LinkTypeSize/GBNotes
GGUFimatrix0.1imatrix file (for creating your own quants)
GGUFi1-IQ1_S2.2for the desperate
GGUFi1-IQ1_M2.4mostly desperate
GGUFi1-IQ2_XXS2.6
GGUFi1-IQ2_XS2.8
GGUFi1-IQ2_S3.0
GGUFi1-IQ2_M3.2
GGUFi1-Q2_K_S3.2very low quality
GGUFi1-Q2_K3.4IQ3_XXS probably better
GGUFi1-IQ3_XXS3.5lower quality
GGUFi1-IQ3_XS3.7
GGUFi1-Q3_K_S3.9IQ3_XS probably better
GGUFi1-IQ3_S3.9beats Q3_K*
GGUFi1-IQ3_M4.0
GGUFi1-Q3_K_M4.2IQ3_S probably better
GGUFi1-Q3_K_L4.5IQ3_M probably better
GGUFi1-IQ4_XS4.7
GGUFi1-Q4_04.9fast, low quality
GGUFi1-IQ4_NL4.9prefer IQ4_XS
GGUFi1-Q4_K_S4.9optimal size/speed/quality
GGUFi1-Q4_K_M5.1fast, recommended
GGUFi1-Q4_15.3
GGUFi1-Q5_K_S5.8
GGUFi1-Q5_K_M6.0
GGUFi1-Q6_K6.8practically 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.

Sources

1 source
Hugging FacePrimaryVersion 586c0a5f8a9bc47f73f24057cbc8453a6afadff1
huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/tree/586c0a5f8a9bc47f73f24057cbc8453a6afadff1

Verified Oct 3

Model artifacts

25 artifacts

LoopTool-8B.i1-IQ1_M.gguf

gguf · 2.10 GB · SHA-256 8a0bacb1b480…7ef7 · Hugging Face

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LoopTool-8B.i1-IQ1_S.gguf

gguf · 1.97 GB · SHA-256 6652fac1ce0d…57ed · Hugging Face

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LoopTool-8B.i1-IQ2_M.gguf

gguf · 2.84 GB · SHA-256 4a660b1e54d7…9807 · Hugging Face

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LoopTool-8B.i1-IQ2_S.gguf

gguf · 2.67 GB · SHA-256 1519277316fa…14e4 · Hugging Face

Download

LoopTool-8B.i1-IQ2_XS.gguf

gguf · 2.51 GB · SHA-256 cedfffbf1700…82bd · Hugging Face

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LoopTool-8B.i1-IQ2_XXS.gguf

gguf · 2.32 GB · SHA-256 bb4c148f6601…20a7 · Hugging Face

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LoopTool-8B.i1-IQ3_M.gguf

gguf · 3.63 GB · SHA-256 e7f850fd4d7c…3b7f · Hugging Face

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LoopTool-8B.i1-IQ3_S.gguf

gguf · 3.53 GB · SHA-256 c8904ca2cc9d…2913 · Hugging Face

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LoopTool-8B.i1-IQ3_XS.gguf

gguf · 3.38 GB · SHA-256 bfc94c5af341…1809 · Hugging Face

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LoopTool-8B.i1-IQ3_XXS.gguf

gguf · 3.14 GB · SHA-256 7e01f7e62bcb…a9a1 · Hugging Face

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LoopTool-8B.i1-IQ4_NL.gguf

gguf · 4.46 GB · SHA-256 b11829a038ee…6884 · Hugging Face

Download

LoopTool-8B.i1-IQ4_XS.gguf

gguf · 4.25 GB · SHA-256 377a3a7a2010…c55d · Hugging Face

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LoopTool-8B.i1-Q2_K_S.gguf

gguf · 2.87 GB · SHA-256 ebf668bc9294…5a31 · Hugging Face

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LoopTool-8B.i1-Q2_K.gguf

gguf · 3.06 GB · SHA-256 0941db7426b0…02b2 · Hugging Face

Download

LoopTool-8B.i1-Q3_K_L.gguf

gguf · 4.13 GB · SHA-256 3c6a581c7ae9…c7a4 · Hugging Face

Download

LoopTool-8B.i1-Q3_K_M.gguf

gguf · 3.84 GB · SHA-256 e54631e52422…7a0c · Hugging Face

Download

LoopTool-8B.i1-Q3_K_S.gguf

gguf · 3.51 GB · SHA-256 cbbb5a3c66dc…fcca · Hugging Face

Download

LoopTool-8B.i1-Q4_0.gguf

gguf · 4.46 GB · SHA-256 cd400baf8e98…7474 · Hugging Face

Download

LoopTool-8B.i1-Q4_1.gguf

gguf · 4.89 GB · SHA-256 3b04b9495b30…7685 · Hugging Face

Download

LoopTool-8B.i1-Q4_K_M.gguf

gguf · 4.68 GB · SHA-256 e96be3403033…53b5 · Hugging Face

Download

LoopTool-8B.i1-Q4_K_S.gguf

gguf · 4.47 GB · SHA-256 ee02573670e8…4cb7 · Hugging Face

Download

LoopTool-8B.i1-Q5_K_M.gguf

gguf · 5.45 GB · SHA-256 3b41064c37f3…4fea · Hugging Face

Download

LoopTool-8B.i1-Q5_K_S.gguf

gguf · 5.33 GB · SHA-256 922a713f41d3…43f0 · Hugging Face

Download

LoopTool-8B.i1-Q6_K.gguf

gguf · 6.26 GB · SHA-256 ed6cd84c111a…441a · Hugging Face

Download

LoopTool-8B.imatrix.gguf

gguf · 5.10 MB · SHA-256 273e9a5c8e8a…0662 · Hugging Face

Download

Source excerpts

3 excerpts

--- base_model: zhangkangning/LoopTool-8B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/zhangkangning/LoopTool-8B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LoopTool-8B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/LoopTool-8B-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](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ1_S.gguf) | i1-IQ1_S | 2.2 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ1_M.gguf) | i1-IQ1_M | 2.4 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.6 | | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.8 | | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ2_S.gguf) | i1-IQ2_S | 3.0 | | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-IQ2_M.gguf) | i1-IQ2_M | 3.2 | | | [GGUF](https://huggingface.co/mradermacher/LoopTool-8B-i1-GGUF/resolve/main/LoopTool-8B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.2 | very...

Source context: 510 downloads · 0 likes · Library transformers · Repo mradermacher/LoopTool-8B-i1-GGUF

Source context: 89 downloads · 0 likes · Library transformers · Repo mradermacher/LoopTool-8B-i1-GGUF