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--- |
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base_model: Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B |
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datasets: |
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- Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset |
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- Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset |
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- Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_aspect_sentiment_sns_mall_sentiment_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_summarization_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/OpenOrca_cleaned_kor_linkbricks_single_dataset_with_prompt_text_huggingface |
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- Saxo/ko_government_qa_total_linkbricks_single_dataset_with_prompt_text_huggingface_sampled |
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- Saxo/ko-news-corpus-1 |
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- Saxo/ko-news-corpus-2 |
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- Saxo/ko-news-corpus-3 |
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- Saxo/ko-news-corpus-4 |
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- Saxo/ko-news-corpus-5 |
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- Saxo/ko-news-corpus-6 |
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- Saxo/ko-news-corpus-7 |
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- Saxo/ko-news-corpus-8 |
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- Saxo/ko-news-corpus-9 |
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- maywell/ko_Ultrafeedback_binarized |
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- youjunhyeok/ko-orca-pair-and-ultrafeedback-dpo |
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- lilacai/glaive-function-calling-v2-sharegpt |
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- kuotient/gsm8k-ko |
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language: |
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- ko |
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- en |
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- jp |
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- cn |
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library_name: transformers |
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license: apache-2.0 |
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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: nicoboss --> |
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weighted/imatrix quants of https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co/mradermacher/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B-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/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B-i1-GGUF/resolve/main/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B.i1-Q2_K.gguf) | i1-Q2_K | 8.4 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B-i1-GGUF/resolve/main/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B.i1-IQ3_M.gguf) | i1-IQ3_M | 10.2 | | |
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| [GGUF](https://huggingface.co/mradermacher/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B-i1-GGUF/resolve/main/Linkbricks-Horizon-AI-Japanese-Superb-V1-22B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 12.8 | optimal size/speed/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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. |
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