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--- |
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base_model: haoranxu/X-ALMA-13B-Pretrain |
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datasets: |
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- oscar-corpus/OSCAR-2301 |
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- allenai/nllb |
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- Helsinki-NLP/opus-100 |
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language: |
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- en |
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- da |
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- nl |
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- de |
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- is |
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- no |
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- sc |
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- af |
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- ca |
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- ro |
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- gl |
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- it |
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- pt |
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- es |
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- bg |
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- mk |
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- sr |
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- uk |
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- ru |
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- id |
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- ms |
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- th |
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- vi |
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- mg |
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- fr |
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- hu |
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- el |
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- cs |
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- pl |
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- lt |
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- lv |
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- ka |
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- zh |
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- ja |
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- ko |
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- fi |
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- et |
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- gu |
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- hi |
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- mr |
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- ne |
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- ur |
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- az |
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- kk |
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- ky |
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- tr |
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- uz |
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- ar |
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- he |
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- fa |
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library_name: transformers |
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license: mit |
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quantized_by: mradermacher |
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--- |
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## About |
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: --> |
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static quants of https://huggingface.co/haoranxu/X-ALMA-13B-Pretrain |
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<!-- provided-files --> |
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-i1-GGUF |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q2_K.gguf) | Q2_K | 5.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_S.gguf) | Q3_K_S | 5.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q3_K_L.gguf) | Q3_K_L | 7.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.IQ4_XS.gguf) | IQ4_XS | 7.1 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q5_K_S.gguf) | Q5_K_S | 9.1 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q5_K_M.gguf) | Q5_K_M | 9.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q6_K.gguf) | Q6_K | 10.8 | very good quality | |
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| [GGUF](https://huggingface.co/mradermacher/X-ALMA-13B-Pretrain-GGUF/resolve/main/X-ALMA-13B-Pretrain.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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 |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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<!-- end --> |
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