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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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+
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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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+
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+ ## Usage
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+
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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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+
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+ ## Provided Quants
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+
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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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+
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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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+
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+ Here is a handy table comparing some lower-quality quant types:
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+
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+ ![image.png](https://cdn-uploads.huggingface.co/production/uploads/645ce413a19f3e64bbeece31/dEiT6xDvxyANdetzVG1tX.png)
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+
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+ <!-- end -->