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For a convenient overview and download list, visit our model page for this model.
Source du modèle
Description de la source
weighted/imatrix quants of https://huggingface.co/mkd-hossain/Keural-MoE-Pro-v1.1
For a convenient overview and download list, visit our model page for this model.
static quants are available at
Sources
1 sourceVérifié 22 sept.
Artefacts du modèle
15 artefactsKeural-MoE-Pro-v1.1.i1-IQ3_M.gguf
gguf · 14,7 GB · SHA-256 933c887cb4a5…1c3b · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-IQ3_S.gguf
gguf · 14,5 GB · SHA-256 5a5f3859b493…4256 · Hugging Face
TéléchargerExtraits de sources
2 extraitsThis is a vision model - mmproj files (if any) will be in the static repository.
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.
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | imatrix | 0.3 | imatrix file (for creating your own quants) |
| GGUF | i1-Q2_K | 13.3 | IQ3_XXS probably better |
| GGUF | i1-Q3_K_S | 15.6 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 15.7 | beats Q3_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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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.
Keural-MoE-Pro-v1.1.i1-IQ4_XS.gguf
gguf · 17,9 GB · SHA-256 590f9d740c9d…3be1 · Hugging Face
Keural-MoE-Pro-v1.1.i1-Q2_K.gguf
gguf · 12,3 GB · SHA-256 a1e26ae44648…6bfa · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q3_K_L.gguf
gguf · 17,3 GB · SHA-256 7c3c57e2ed43…71a2 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q3_K_M.gguf
gguf · 16,0 GB · SHA-256 440d1c244bce…22d7 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q3_K_S.gguf
gguf · 14,5 GB · SHA-256 35a303ce73f1…8eac · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q4_0.gguf
gguf · 18,9 GB · SHA-256 31d1122c7d09…41a9 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q4_1.gguf
gguf · 20,8 GB · SHA-256 869bf41a4b17…e62a · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q4_K_M.gguf
gguf · 20,2 GB · SHA-256 1bb77bf788a6…17c8 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q4_K_S.gguf
gguf · 19,0 GB · SHA-256 8e51a9373281…4ab4 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q5_K_M.gguf
gguf · 23,6 GB · SHA-256 62c001bec63c…de10 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q5_K_S.gguf
gguf · 22,9 GB · SHA-256 b98fc3608833…4a00 · Hugging Face
TéléchargerKeural-MoE-Pro-v1.1.i1-Q6_K.gguf
gguf · 27,2 GB · SHA-256 bf4551f8b2c5…4df3 · Hugging Face
Télécharger--- base_model: mkd-hossain/Keural-MoE-Pro-v1.1 language: - ko - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - korean - moe - lora - instruction-tuning - keural --- ## 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/mkd-hossain/Keural-MoE-Pro-v1.1 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Keural-MoE-Pro-v1.1-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-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/Keural-MoE-Pro-v1.1-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.1.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.1.i1-Q2_K.gguf) | i1-Q2_K | 13.3 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.6 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.1.i1-IQ3_S.gguf) | i1-IQ3_S | 15.7 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.1-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.1.i1-IQ3_M.gguf) | i1-IQ3_M | 15.9 | | | [GGUF](https://huggingface.co/mraderm...
Source context: 621 downloads · 0 likes · Library transformers · Repo mradermacher/Keural-MoE-Pro-v1.1-i1-GGUF
| i1-IQ3_M |
| 15.9 |
| GGUF | i1-Q3_K_M | 17.3 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 18.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 19.3 |
| GGUF | i1-Q4_0 | 20.4 | fast, low quality |
| GGUF | i1-Q4_K_S | 20.5 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 21.8 | fast, recommended |
| GGUF | i1-Q4_1 | 22.5 |
| GGUF | i1-Q5_K_S | 24.7 |
| GGUF | i1-Q5_K_M | 25.4 |
| GGUF | i1-Q6_K | 29.3 | practically like static Q6_K |
