Aitana 7B S Instruct GGUF
For a convenient overview and download list, visit our model page for this model.
Modellquelle
- Art
- Other
- Dateigröße
- 3,08–14,5 GB
- Basismodell
- gplsi/Aitana-7B-S-Instruct
- Version
- vRevision 4a99ddb
- Aktualisiert
- 3. Okt. 2026
- Verleger
- @mradermacher
- Downloads
- 919
- Parameter
- 7B
- Aufgaben
- Textgenerierung
- Quelle
- Hugging Face
Quellenbeschreibung
About
static quants of https://huggingface.co/gplsi/Aitana-7B-S-Instruct
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-i1-GGUF
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 | 3.4 | |
| GGUF | Q3_K_S | 3.9 | |
| GGUF | Q3_K_M | 4.1 | lower quality |
| GGUF | Q3_K_L | 4.4 | |
| GGUF | IQ4_XS | 4.6 | |
| GGUF | Q4_K_S | 4.8 | fast, recommended |
| GGUF | Q4_K_M | 5.0 | fast, recommended |
| GGUF | Q5_K_S | 5.6 | |
| GGUF | Q5_K_M | 5.7 | |
| GGUF | Q6_K | 6.5 | very good quality |
| GGUF | Q8_0 | 8.4 | fast, best quality |
| GGUF | f16 | 15.6 | 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 3. Okt.
Modellartefakte
12 Artefakte
Modellartefakte
12 ArtefakteAitana-7B-S-Instruct.IQ4_XS.gguf
gguf · 4,18 GB · SHA-256 567e2cc071fd…3191 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q2_K.gguf
gguf · 3,08 GB · SHA-256 7ed4f1748fbc…7c6e · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q3_K_L.gguf
gguf · 4,00 GB · SHA-256 771b41e108f0…2a11 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q3_K_M.gguf
gguf · 3,77 GB · SHA-256 c55faa2f5502…2b27 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q3_K_S.gguf
gguf · 3,50 GB · SHA-256 1ef0518c6a03…8d0c · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q4_K_M.gguf
gguf · 4,52 GB · SHA-256 33e5a7a4ba82…8d42 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q4_K_S.gguf
gguf · 4,35 GB · SHA-256 1f47f42c7a51…1814 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q5_K_M.gguf
gguf · 5,21 GB · SHA-256 89093e78763d…6923 · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q5_K_S.gguf
gguf · 5,11 GB · SHA-256 576f0b715a85…6f1b · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q6_K.gguf
gguf · 5,94 GB · SHA-256 d18a07e8334c…0e6a · Hugging Face
HerunterladenAitana-7B-S-Instruct.Q8_0.gguf
gguf · 7,69 GB · SHA-256 7206a42b51b6…ae8b · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- base_model: gplsi/Aitana-7B-S-Instruct datasets: - OpenAssistant/oasst2 - OpenAssistant/oasst1 - BSC-LT/m-personas - projecte-aina/RAG_Multilingual - facebook/flores - CohereLabs/aya_dataset - Unbabel/TowerBlocks-v0.2 - projecte-aina/MentorES - databricks/databricks-dolly-15k - tatsu-lab/alpaca - openai/gsm8k - Open-Orca/OpenOrca - HuggingFaceH4/no_robots - projecte-aina/CoQCat - gplsi/boua_parallel - allenai/scifact - somosnlp/LingComp_QA - somosnlp/instruct-legal-refugiados-es language: - ca - es - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - valencian - spanish - english - text-generation - instruct - alia - gplsi --- ## 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/gplsi/Aitana-7B-S-Instruct <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Aitana-7B-S-Instruct-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-i1-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/Aitana-7B-S-Instruct-GGUF/resolve/main/Aitana-7B-S-Instruct.Q2_K.gguf) | Q2_K | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-GGUF/resolve/main/Aitana-7B-S-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.9 | | | [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-GGUF/resolve/main/Aitana-7B-S-Instruct.Q3_K_M.gguf) | Q3_K_M | 4.1 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-GGUF/resolve/main/Aitana-7B-S-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/Aitana-7B-S-Instruct-GGUF/res...
Source context: 919 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo mradermacher/Aitana-7B-S-Instruct-GGUF
Source context: 112 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo mradermacher/Aitana-7B-S-Instruct-GGUF
