Docubrief Qwen2.5 1.5b GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 645 MB–2,88 GB
- Basismodell
- samandar1105/docubrief-qwen2.5-1.5b
- Version
- vRevision 707d98e
- Aktualisiert
- 27. Okt. 2026
- Downloads
- 111
- Quelle
- Hugging Face
Quellenbeschreibung
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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 0.8 | |
| GGUF | Q3_K_S | 0.9 | |
| GGUF | Q3_K_M | 0.9 | lower quality |
| GGUF | Q3_K_L | 1.0 | |
| GGUF | IQ4_XS | 1.0 | |
| GGUF | Q4_K_S | 1.0 | fast, recommended |
| GGUF | Q4_K_M | 1.1 | fast, recommended |
| GGUF | Q5_K_S | 1.2 | |
| GGUF | Q5_K_M | 1.2 | |
| GGUF | Q6_K | 1.4 | very good quality |
| GGUF | Q8_0 | 1.7 | fast, best quality |
| GGUF | f16 | 3.2 | 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.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 27. Okt.
Download files
Modellartefakte
12 Artefakte
Modellartefakte
12 Artefaktedocubrief-qwen2.5-1.5b.f16.gguf
gguf · 2,88 GB · SHA-256 a1837b8f53ff…55b2 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.IQ4_XS.gguf
gguf · 860 MB · SHA-256 ea7ea3cf3c48…e089 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q2_K.gguf
gguf · 645 MB · SHA-256 2f6b5e030ec8…5b15 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q3_K_L.gguf
gguf · 839 MB · SHA-256 45695b29dd12…0ea5 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q3_K_M.gguf
gguf · 786 MB · SHA-256 ed21c6a09263…314c · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q3_K_S.gguf
gguf · 726 MB · SHA-256 143cbbf95092…c8c8 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q4_K_M.gguf
gguf · 940 MB · SHA-256 ee78258cb1c1…ee73 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q4_K_S.gguf
gguf · 897 MB · SHA-256 4d11dcb8d01a…a3f9 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q5_K_M.gguf
gguf · 1,05 GB · SHA-256 cddad9be42be…edf9 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q5_K_S.gguf
gguf · 1,02 GB · SHA-256 5915e036c0ae…d823 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q6_K.gguf
gguf · 1,19 GB · SHA-256 6d57a729ab44…1528 · Hugging Face
Download filedocubrief-qwen2.5-1.5b.Q8_0.gguf
gguf · 1,53 GB · SHA-256 dd6d5482744b…a768 · Hugging Face
Download fileQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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
