auto-patch README.md

README.md

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+---
+base_model: LLaMAX/LLaMAX2-7B-XNLI
+language:
+- af
+- am
+- ar
+- hy
+- as
+- ast
+- az
+- be
+- bn
+- bs
+- bg
+- my
+- ca
+- ceb
+- zho
+- hr
+- cs
+- da
+- nl
+- en
+- et
+- tl
+- fi
+- fr
+- ff
+- gl
+- lg
+- ka
+- de
+- el
+- gu
+- ha
+- he
+- hi
+- hu
+- is
+- ig
+- id
+- ga
+- it
+- ja
+- jv
+- kea
+- kam
+- kn
+- kk
+- km
+- ko
+- ky
+- lo
+- lv
+- ln
+- lt
+- luo
+- lb
+- mk
+- ms
+- ml
+- mt
+- mi
+- mr
+- mn
+- ne
+- ns
+- no
+- ny
+- oc
+- or
+- om
+- ps
+- fa
+- pl
+- pt
+- pa
+- ro
+- ru
+- sr
+- sn
+- sd
+- sk
+- sl
+- so
+- ku
+- es
+- sw
+- sv
+- tg
+- ta
+- te
+- th
+- tr
+- uk
+- umb
+- ur
+- uz
+- vi
+- cy
+- wo
+- xh
+- yo
+- zu
+library_name: transformers
+license: mit
+quantized_by: mradermacher
+tags:
+- Multilingual
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/LLaMAX/LLaMAX2-7B-XNLI
+
+<!-- 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/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q2_K.gguf) | Q2_K | 2.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q3_K_S.gguf) | Q3_K_S | 3.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q3_K_L.gguf) | Q3_K_L | 3.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/LLaMAX2-7B-XNLI-GGUF/resolve/main/LLaMAX2-7B-XNLI.f16.gguf) | f16 | 13.6 | 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 -->