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@@ -50,3 +50,11 @@ Qwen2.5-14B-Styx.i1-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-Q4_1.gguf filter=lfs diff=lfs merge=lfs -text
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Qwen2.5-14B-Styx.i1-IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
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3
Qwen2.5-14B-Styx.i1-IQ1_S.gguf
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Qwen2.5-14B-Styx.i1-IQ1_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:112ccc07a5a9dfd8b0ff8deb054e0453a83774e3a331b1e4e7225b89f2fa41fc
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size 3607995680
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3
Qwen2.5-14B-Styx.i1-IQ2_S.gguf
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Qwen2.5-14B-Styx.i1-IQ2_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:28817a71a8c74cff3848b78f618f477848e31a1e58d80c44f5cd4000dae82a8a
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size 5003728160
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3
Qwen2.5-14B-Styx.i1-IQ3_S.gguf
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Qwen2.5-14B-Styx.i1-IQ3_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:afea74d442ef4f6db9568a4a06dd2a7f7b732368ebc1a48f579364fc6b292a81
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size 6693020960
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3
Qwen2.5-14B-Styx.i1-IQ3_XS.gguf
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3
Qwen2.5-14B-Styx.i1-IQ3_XS.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab5aecc88fbcd3cbeba8b5fbd49a64da2f52d70029ebd01b23a38599dabebfd8
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size 6383363360
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3
Qwen2.5-14B-Styx.i1-Q4_0.gguf
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3
Qwen2.5-14B-Styx.i1-Q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:adb6bfb10a1faf34be2296d7505c7118357e662a2c15b7c06b0d434f3ade878a
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size 8544269600
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3
Qwen2.5-14B-Styx.i1-Q4_1.gguf
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3
Qwen2.5-14B-Styx.i1-Q4_1.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a15136c29735836436d70c16d174de320df9a3c33a9d52a09eeac0d2f0004a6a
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size 9392141600
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||||
3
Qwen2.5-14B-Styx.i1-Q5_K_M.gguf
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3
Qwen2.5-14B-Styx.i1-Q5_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:14ebcc6752cdc562cb2b691f93aab04f82b4f224964f4c17cf68f98bed1e6777
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size 10508875040
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3
Qwen2.5-14B-Styx.i1-Q5_K_S.gguf
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3
Qwen2.5-14B-Styx.i1-Q5_K_S.gguf
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:08c2457b3cbe153f3cd6bc4120055b2d1e0484db557697670c7b037152523c8c
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size 10266555680
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79
README.md
79
README.md
@@ -1,3 +1,18 @@
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---
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base_model: Vortex5/Qwen2.5-14B-Styx
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language:
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- en
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library_name: transformers
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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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- mergekit
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- merge
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- roleplay
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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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@@ -7,3 +22,67 @@
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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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weighted/imatrix quants of https://huggingface.co/Vortex5/Qwen2.5-14B-Styx
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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#Qwen2.5-14B-Styx-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-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/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ1_S.gguf) | i1-IQ1_S | 3.7 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ1_M.gguf) | i1-IQ1_M | 4.0 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ2_S.gguf) | i1-IQ2_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ2_M.gguf) | i1-IQ2_M | 5.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q2_K_S.gguf) | i1-Q2_K_S | 5.5 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q2_K.gguf) | i1-Q2_K | 5.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 6.0 | lower quality |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ3_XS.gguf) | i1-IQ3_XS | 6.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.8 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ3_S.gguf) | i1-IQ3_S | 6.8 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ3_M.gguf) | i1-IQ3_M | 7.0 | |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q3_K_M.gguf) | i1-Q3_K_M | 7.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q3_K_L.gguf) | i1-Q3_K_L | 8.0 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ4_XS.gguf) | i1-IQ4_XS | 8.2 | |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q4_0.gguf) | i1-Q4_0 | 8.6 | fast, low quality |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.6 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.7 | optimal size/speed/quality |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q4_K_M.gguf) | i1-Q4_K_M | 9.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q4_1.gguf) | i1-Q4_1 | 9.5 | |
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||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q5_K_S.gguf) | i1-Q5_K_S | 10.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q5_K_M.gguf) | i1-Q5_K_M | 10.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2.5-14B-Styx-i1-GGUF/resolve/main/Qwen2.5-14B-Styx.i1-Q6_K.gguf) | i1-Q6_K | 12.2 | practically like static Q6_K |
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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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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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Reference in New Issue
Block a user