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Astra Valeria 14b GGUF

basemodel: MIJIN117/astra-valeria-14b language: es en ja libraryname: transformers license: apache-2.0 mradermacher: readmerev: 1 quantizedby: mradermacher tags: qwen vtuber assistant spanish roleplay management...

KindOtherBase modelMIJIN117/astra-valeria-14bVersionPublisher@mradermacherCgrade

Model source

Kind
Other
File size
5.75 GB
Base model
MIJIN117/astra-valeria-14b
Version
vastra-valeria-14b.f16
Updated
Sep 21, 2026
Publisher
@mradermacher
Parameters
14B
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/MIJIN117/astra-valeria-14b

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_K1.4
GGUFQ3_K_S1.6
GGUFQ3_K_M1.7lower quality
GGUFQ3_K_L1.8
GGUFIQ4_XS1.9
GGUFQ4_K_S1.9fast, recommended
GGUFQ4_K_M2.0fast, recommended
GGUFQ5_K_S2.3
GGUFQ5_K_M2.3
GGUFQ6_K2.6very good quality
GGUFQ8_03.4fast, best quality
GGUFf166.316 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.

Sources

1 source
Hugging FacePrimaryVersion 32ba595f1e948fe273023349046f47bc1042cb4f
huggingface.co/mradermacher/astra-valeria-14b-GGUF/tree/32ba595f1e948fe273023349046f47bc1042cb4f

Verified Sep 22

Model artifacts

1 artifact

astra-valeria-14b.f16.gguf

gguf · 5.75 GB · SHA-256 651f12683554…1e99 · Hugging Face

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Source excerpts

3 excerpts

--- base_model: MIJIN117/astra-valeria-14b language: - es - en - ja library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - qwen - vtuber - assistant - spanish - roleplay - management - streaming --- ## 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/MIJIN117/astra-valeria-14b <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#astra-valeria-14b-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/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q2_K.gguf) | Q2_K | 1.4 | | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q3_K_S.gguf) | Q3_K_S | 1.6 | | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q3_K_L.gguf) | Q3_K_L | 1.8 | | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.IQ4_XS.gguf) | IQ4_XS | 1.9 | | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/astra-valeria-14b-GGUF/resolve/main/astra-valeria-14b.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommende...

Source context: 171 downloads · 0 likes · Library transformers · Repo mradermacher/astra-valeria-14b-GGUF

Source context: 501 downloads · 0 likes · Library transformers · Repo mradermacher/astra-valeria-14b-GGUF