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--- |
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base_model: |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- NousResearch/Yarn-Mistral-7b-128k |
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- Kukedlc/MyModelsMerge-7b |
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exported_from: Kukedlc/NeuralContext-7b-v2 |
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language: |
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- en |
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library_name: transformers |
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quantized_by: mradermacher |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- NousResearch/Yarn-Mistral-7b-128k |
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- Kukedlc/MyModelsMerge-7b |
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--- |
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## About |
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static quants of https://huggingface.co/Kukedlc/NeuralContext-7b-v2 |
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<!-- provided-files --> |
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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. |
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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/NeuralContext-7b-v2-GGUF/resolve/main/NeuralContext-7b-v2.Q3_K_M.gguf) | Q3_K_M | 3.8 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/NeuralContext-7b-v2-GGUF/resolve/main/NeuralContext-7b-v2.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended | |
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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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## 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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