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Duplicate from mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF

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Co-authored-by: Michael Radermacher <[email protected]>

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  24. README.md +71 -0
  25. imatrix.dat +3 -0
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README.md ADDED
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+ ---
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+ base_model: sophosympatheia/Midnight-Miqu-70B-v1.5
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+ language:
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+ - en
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+ library_name: transformers
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+ license: other
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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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+ weighted/imatrix quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5
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+
16
+ <!-- provided-files -->
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+ static quants are available at https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-GGUF
18
+ ## Usage
19
+
20
+ 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
22
+ more details, including on how to concatenate multi-part files.
23
+
24
+ ## Provided Quants
25
+
26
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
27
+
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+ | Link | Type | Size/GB | Notes |
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+ |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ1_S.gguf) | i1-IQ1_S | 15.0 | for the desperate |
31
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ1_M.gguf) | i1-IQ1_M | 16.0 | mostly desperate |
32
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.7 | |
33
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.8 | |
34
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ2_S.gguf) | i1-IQ2_S | 21.8 | |
35
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ2_M.gguf) | i1-IQ2_M | 23.7 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q2_K.gguf) | i1-Q2_K | 25.9 | IQ3_XXS probably better |
37
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.0 | lower quality |
38
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ3_XS.gguf) | i1-IQ3_XS | 28.6 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ3_S.gguf) | i1-IQ3_S | 30.3 | beats Q3_K* |
40
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.3 | IQ3_XS probably better |
41
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ3_M.gguf) | i1-IQ3_M | 31.4 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.7 | IQ3_S probably better |
43
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.6 | IQ3_M probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-IQ4_XS.gguf) | i1-IQ4_XS | 37.2 | |
45
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q4_0.gguf) | i1-Q4_0 | 39.1 | fast, low quality |
46
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.7 | optimal size/speed/quality |
47
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.8 | fast, recommended |
48
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q5_K_S.gguf) | i1-Q5_K_S | 47.9 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q5_K_M.gguf) | i1-Q5_K_M | 49.2 | |
50
+ | [PART 1](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-i1-GGUF/resolve/main/Midnight-Miqu-70B-v1.5.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 57.0 | practically like static Q6_K |
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+
52
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
53
+ types (lower is better):
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+
55
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
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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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+
60
+ ## FAQ / Model Request
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+
62
+ See https://huggingface.co/mradermacher/model_requests for some answers to
63
+ questions you might have and/or if you want some other model quantized.
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+
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+ ## Thanks
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+
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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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+
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+ <!-- end -->
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