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Docubrief Qwen2.5 1.5b GGUF

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

TipoOtherModelo basesamandar1105/docubrief-qwen2.5-1.5bVersiónRevision 707d98eBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
645 MB–2,88 GB
Modelo base
samandar1105/docubrief-qwen2.5-1.5b
Versión
vRevision 707d98e
Actualizado
27 oct 2026
Descargas
111
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/samandar1105/docubrief-qwen2.5-1.5b

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_K0.8
GGUFQ3_K_S0.9
GGUFQ3_K_M0.9lower quality
GGUFQ3_K_L1.0
GGUFIQ4_XS1.0
GGUFQ4_K_S1.0fast, recommended
GGUFQ4_K_M1.1fast, recommended
GGUFQ5_K_S1.2
GGUFQ5_K_M1.2
GGUFQ6_K1.4very good quality
GGUFQ8_01.7fast, best quality
GGUFf163.216 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión 707d98e9fcbaa21d2320ceb420651e41cacb35ae
huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/tree/707d98e9fcbaa21d2320ceb420651e41cacb35ae

Verificado 27 oct

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Artefactos del modelo

12 artefactos

docubrief-qwen2.5-1.5b.f16.gguf

gguf · 2,88 GB · SHA-256 a1837b8f53ff…55b2 · Hugging Face

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docubrief-qwen2.5-1.5b.IQ4_XS.gguf

gguf · 860 MB · SHA-256 ea7ea3cf3c48…e089 · Hugging Face

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docubrief-qwen2.5-1.5b.Q2_K.gguf

gguf · 645 MB · SHA-256 2f6b5e030ec8…5b15 · Hugging Face

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docubrief-qwen2.5-1.5b.Q3_K_L.gguf

gguf · 839 MB · SHA-256 45695b29dd12…0ea5 · Hugging Face

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docubrief-qwen2.5-1.5b.Q3_K_M.gguf

gguf · 786 MB · SHA-256 ed21c6a09263…314c · Hugging Face

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docubrief-qwen2.5-1.5b.Q3_K_S.gguf

gguf · 726 MB · SHA-256 143cbbf95092…c8c8 · Hugging Face

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docubrief-qwen2.5-1.5b.Q4_K_M.gguf

gguf · 940 MB · SHA-256 ee78258cb1c1…ee73 · Hugging Face

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docubrief-qwen2.5-1.5b.Q4_K_S.gguf

gguf · 897 MB · SHA-256 4d11dcb8d01a…a3f9 · Hugging Face

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docubrief-qwen2.5-1.5b.Q5_K_M.gguf

gguf · 1,05 GB · SHA-256 cddad9be42be…edf9 · Hugging Face

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docubrief-qwen2.5-1.5b.Q5_K_S.gguf

gguf · 1,02 GB · SHA-256 5915e036c0ae…d823 · Hugging Face

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docubrief-qwen2.5-1.5b.Q6_K.gguf

gguf · 1,19 GB · SHA-256 6d57a729ab44…1528 · Hugging Face

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docubrief-qwen2.5-1.5b.Q8_0.gguf

gguf · 1,53 GB · SHA-256 dd6d5482744b…a768 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: samandar1105/docubrief-qwen2.5-1.5b datasets: - abisee/cnn_dailymail language: en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - summarization - lora - qlora - rag --- ## 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/samandar1105/docubrief-qwen2.5-1.5b <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#docubrief-qwen2.5-1.5b-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/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.Q2_K.gguf) | Q2_K | 0.8 | | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.Q3_K_S.gguf) | Q3_K_S | 0.9 | | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.Q3_K_L.gguf) | Q3_K_L | 1.0 | | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.IQ4_XS.gguf) | IQ4_XS | 1.0 | | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resolve/main/docubrief-qwen2.5-1.5b.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/docubrief-qwen2.5-1.5b-GGUF/resol...

Source context: 111 downloads · 0 likes · Pipeline summarization · Library transformers · Repo mradermacher/docubrief-qwen2.5-1.5b-GGUF

Source context: 326 downloads · 0 likes · Pipeline summarization · Library transformers · Repo mradermacher/docubrief-qwen2.5-1.5b-GGUF