Winning Wedding Planner 7b GGUF
For a convenient overview and download list, visit our model page for this model.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 2,81–14,2 GB
- Modelo base
- Sumanth2377/winning-wedding-planner-7b
- Versão
- vRevision dcecf2e
- Atualizado
- 22 de set. de 2026
- Publicador
- @mradermacher
- Downloads
- 266
- Parâmetros
- 7B
- Fonte
- Hugging Face
Descrição da fonte
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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.6 | |
| GGUF | Q3_K_M | 3.9 | lower quality |
| GGUF | Q3_K_L | 4.2 | |
| GGUF | IQ4_XS | 4.4 | |
| GGUF | Q4_K_S | 4.6 | fast, recommended |
| GGUF | Q4_K_M | 4.8 | fast, recommended |
| GGUF | Q5_K_S | 5.4 | |
| GGUF | Q5_K_M | 5.5 | |
| GGUF | Q6_K | 6.4 | very good quality |
| GGUF | Q8_0 | 8.2 | fast, best quality |
| GGUF | f16 | 15.3 | 16 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.
Fontes
1 fonte
Fontes
1 fonteVerificado 22 de set.
Artefatos de modelo
12 artefatos
Artefatos de modelo
12 artefatoswinning-wedding-planner-7b.IQ4_XS.gguf
gguf · 3,96 GB · SHA-256 e6dbb0dc48f6…bb0a · Hugging Face
Baixarwinning-wedding-planner-7b.Q3_K_L.gguf
gguf · 3,81 GB · SHA-256 22deb107135e…cf83 · Hugging Face
Baixarwinning-wedding-planner-7b.Q3_K_M.gguf
gguf · 3,55 GB · SHA-256 724c27cf0696…3cdf · Hugging Face
Baixarwinning-wedding-planner-7b.Q3_K_S.gguf
gguf · 3,25 GB · SHA-256 83455020f666…7936 · Hugging Face
Baixarwinning-wedding-planner-7b.Q4_K_M.gguf
gguf · 4,36 GB · SHA-256 e737d51b38d2…aa18 · Hugging Face
Baixarwinning-wedding-planner-7b.Q4_K_S.gguf
gguf · 4,15 GB · SHA-256 c50b185b560a…0b85 · Hugging Face
Baixarwinning-wedding-planner-7b.Q5_K_M.gguf
gguf · 5,07 GB · SHA-256 137efcc7b1a2…b965 · Hugging Face
Baixarwinning-wedding-planner-7b.Q5_K_S.gguf
gguf · 4,95 GB · SHA-256 45e587b194df…de07 · Hugging Face
BaixarTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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
