auto-patch README.md

README.md

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+---
+base_model: MaziyarPanahi/Mistral-7B-Instruct-Aya-101
+datasets:
+- CohereForAI/aya_dataset
+language:
+- afr
+- amh
+- ara
+- aze
+- bel
+- ben
+- bul
+- cat
+- ceb
+- ces
+- cym
+- dan
+- deu
+- ell
+- eng
+- epo
+- est
+- eus
+- fin
+- fil
+- fra
+- fry
+- gla
+- gle
+- glg
+- guj
+- hat
+- hau
+- heb
+- hin
+- hun
+- hye
+- ibo
+- ind
+- isl
+- ita
+- jav
+- jpn
+- kan
+- kat
+- kaz
+- khm
+- kir
+- kor
+- kur
+- lao
+- lav
+- lat
+- lit
+- ltz
+- mal
+- mar
+- mkd
+- mlg
+- mlt
+- mon
+- mri
+- msa
+- mya
+- nep
+- nld
+- nor
+- nso
+- nya
+- ory
+- pan
+- pes
+- pol
+- por
+- pus
+- ron
+- rus
+- sin
+- slk
+- slv
+- smo
+- sna
+- snd
+- som
+- sot
+- spa
+- sqi
+- srp
+- sun
+- swa
+- swe
+- tam
+- tel
+- tgk
+- tha
+- tur
+- twi
+- ukr
+- urd
+- uzb
+- vie
+- xho
+- yid
+- yor
+- zho
+- zul
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+tags:
+- axolotl
+- mistral
+- 7b
+- generated_from_trainer
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-Aya-101
+
+<!-- provided-files -->
+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/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q2_K.gguf) | Q2_K | 2.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q3_K_S.gguf) | Q3_K_S | 3.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q3_K_L.gguf) | Q3_K_L | 3.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.IQ4_XS.gguf) | IQ4_XS | 4.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.2 | fast on arm, low quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q5_K_S.gguf) | Q5_K_S | 5.1 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-Aya-101-GGUF/resolve/main/Mistral-7B-Instruct-Aya-101.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->