mradermacher
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README.md
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static quants of https://huggingface.co/wolfram/miqu-1-103b
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weighted/imatrix quants available at https://huggingface.co/mradermacher/miqu-1-103b-i1-GGUF
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---
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base_model:
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- 152334H/miqu-1-70b-sf
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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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- mergekit
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- merge
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---
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## About
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static quants of https://huggingface.co/wolfram/miqu-1-103b
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weighted/imatrix quants available at https://huggingface.co/mradermacher/miqu-1-103b-i1-GGUF
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<!-- provided-files -->
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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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| [PART 1](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/miqu-1-103b-GGUF/resolve/main/miqu-1-103b.Q6_K.gguf.part2of2) | Q6_K | 85.0 | very good quality |
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Here is a handy table comparing some lower-quality quant types:
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![image.png](https://cdn-uploads.huggingface.co/production/uploads/645ce413a19f3e64bbeece31/dEiT6xDvxyANdetzVG1tX.png)
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<!-- end -->
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