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--- |
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base_model: Delta-Vector/Austral-32B-GLM4-Winton |
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datasets: |
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- Delta-Vector/Tauri-Rep-Remover-KTO |
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- Delta-Vector/Orion-LN-V1-ShareGPT |
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- Delta-Vector/Orion-Personamaxx-RP |
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- Delta-Vector/Orion-Co-Writer-51K |
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- Delta-Vector/Orion-Praxis-Co-Writer |
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- Delta-Vector/Orion-Shoujo-AI-Filtered-ShareGPT |
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- Delta-Vector/Orion-PIPPA-Cleaned-V2 |
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- Delta-Vector/Orion-Alpindale-LN-ShareGPT |
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- Delta-Vector/Orion-Deepseek-V3-RP-Filtered |
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- Delta-Vector/Orion-Books-V2-ShareGPT |
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- Delta-Vector/Orion-Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed |
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- Delta-Vector/Orion-RP-Guild |
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- Delta-Vector/Orion-Creative_Writing-Complexity |
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- Delta-Vector/Orion-Deepseek-R1-RP-Filtered |
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- Delta-Vector/Orion-Storium-Prefixed-Clean |
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- Delta-Vector/Orion-Misc-Sharegpt-Prefixed |
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- Delta-Vector/Orion-LIMARP-Complexity |
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- Delta-Vector/Orion-BlueSky-10K-Complexity |
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- Delta-Vector/Orion-OpenCAI-ShareGPT |
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- Delta-Vector/Orion-Roleplay-Logs-Sharegpt-Ngram-cleaned |
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- Delta-Vector/Orion-vanilla-backrooms-claude-sharegpt |
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language: |
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- en |
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library_name: transformers |
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license: apache-2.0 |
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mradermacher: |
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readme_rev: 1 |
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quantized_by: mradermacher |
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tags: |
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- roleplay |
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- finetune |
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- axolotl |
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- adventure |
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- creative-writing |
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- GLM4 |
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- 32B |
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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/Delta-Vector/Austral-32B-GLM4-Winton |
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<!-- provided-files --> |
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Austral-32B-GLM4-Winton-i1-GGUF).*** |
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static quants are available at https://huggingface.co/mradermacher/Austral-32B-GLM4-Winton-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/Austral-32B-GLM4-Winton-i1-GGUF/resolve/main/Austral-32B-GLM4-Winton.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co/mradermacher/Austral-32B-GLM4-Winton-i1-GGUF/resolve/main/Austral-32B-GLM4-Winton.i1-IQ3_M.gguf) | i1-IQ3_M | 14.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Austral-32B-GLM4-Winton-i1-GGUF/resolve/main/Austral-32B-GLM4-Winton.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.8 | 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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<!-- end --> |
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