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Winning Wedding Planner 7b GGUF

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

ArtOtherBasismodellSumanth2377/winning-wedding-planner-7bVersionRevision dcecf2eVerleger@mradermacherCBewertung

Modellquelle

Art
Other
Dateigröße
2,81–14,2 GB
Basismodell
Sumanth2377/winning-wedding-planner-7b
Version
vRevision dcecf2e
Aktualisiert
22. Sept. 2026
Downloads
266
Parameter
7B
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/Sumanth2377/winning-wedding-planner-7b

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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
GGUFQ2_K3.1
GGUFQ3_K_S3.6
GGUFQ3_K_M3.9lower quality
GGUFQ3_K_L4.2
GGUFIQ4_XS4.4
GGUFQ4_K_S4.6fast, recommended
GGUFQ4_K_M4.8fast, recommended
GGUFQ5_K_S5.4
GGUFQ5_K_M5.5
GGUFQ6_K6.4very good quality
GGUFQ8_08.2fast, best quality
GGUFf1615.316 bpw, overkill

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.

Quellen

1 Quelle
Hugging FacePrimärVersion dcecf2eb3cc86996b2092c4abdb42ca5d897d78b
huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/tree/dcecf2eb3cc86996b2092c4abdb42ca5d897d78b

Verifiziert 22. Sept.

Modellartefakte

12 Artefakte

winning-wedding-planner-7b.f16.gguf

gguf · 14,2 GB · SHA-256 e333f4e7ce73…2248 · Hugging Face

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winning-wedding-planner-7b.IQ4_XS.gguf

gguf · 3,96 GB · SHA-256 e6dbb0dc48f6…bb0a · Hugging Face

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winning-wedding-planner-7b.Q2_K.gguf

gguf · 2,81 GB · SHA-256 0067b08608f8…f9b4 · Hugging Face

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winning-wedding-planner-7b.Q3_K_L.gguf

gguf · 3,81 GB · SHA-256 22deb107135e…cf83 · Hugging Face

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winning-wedding-planner-7b.Q3_K_M.gguf

gguf · 3,55 GB · SHA-256 724c27cf0696…3cdf · Hugging Face

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winning-wedding-planner-7b.Q3_K_S.gguf

gguf · 3,25 GB · SHA-256 83455020f666…7936 · Hugging Face

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winning-wedding-planner-7b.Q4_K_M.gguf

gguf · 4,36 GB · SHA-256 e737d51b38d2…aa18 · Hugging Face

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winning-wedding-planner-7b.Q4_K_S.gguf

gguf · 4,15 GB · SHA-256 c50b185b560a…0b85 · Hugging Face

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winning-wedding-planner-7b.Q5_K_M.gguf

gguf · 5,07 GB · SHA-256 137efcc7b1a2…b965 · Hugging Face

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winning-wedding-planner-7b.Q5_K_S.gguf

gguf · 4,95 GB · SHA-256 45e587b194df…de07 · Hugging Face

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winning-wedding-planner-7b.Q6_K.gguf

gguf · 5,82 GB · SHA-256 be5aa19c0bd6…4fad · Hugging Face

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winning-wedding-planner-7b.Q8_0.gguf

gguf · 7,54 GB · SHA-256 9f251f5a6059…c748 · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: Sumanth2377/winning-wedding-planner-7b datasets: - custom language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - reinforcement-learning - wedding-planning - grpo - unsloth - qwen2.5 - indian-wedding - openenv - chaos-engine - curriculum-learning --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/Sumanth2377/winning-wedding-planner-7b <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#winning-wedding-planner-7b-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/winning-wedding-planner-7b-GGUF/resolve/main/winning-wedding-planner-7b.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/resolve/main/winning-wedding-planner-7b.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/resolve/main/winning-wedding-planner-7b.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/resolve/main/winning-wedding-planner-7b.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/resolve/main/winning-wedding-planner-7b.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/winning-wedding-planner-7b-GGUF/resolve/main/winning-wed...

Source context: 266 downloads · 1 likes · Pipeline reinforcement-learning · Library transformers · Repo mradermacher/winning-wedding-planner-7b-GGUF

Source context: 113 downloads · 1 likes · Pipeline reinforcement-learning · Library transformers · Repo mradermacher/winning-wedding-planner-7b-GGUF