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Model: mradermacher/Winton-Codex-24B-i1-GGUF Source: Original Platform
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---
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base_model: Ateron/Winton-Codex-24B
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language:
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- en
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library_name: transformers
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license: apache-2.0
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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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<!-- ### vocab_type: -->
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<!-- ### tags: nicoboss -->
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<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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weighted/imatrix quants of https://huggingface.co/Ateron/Winton-Codex-24B
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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#Winton-Codex-24B-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/Winton-Codex-24B-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/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ1_S.gguf) | i1-IQ1_S | 5.4 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ1_M.gguf) | i1-IQ1_M | 5.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ2_S.gguf) | i1-IQ2_S | 7.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ2_M.gguf) | i1-IQ2_M | 8.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 8.4 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q2_K.gguf) | i1-Q2_K | 9.0 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 9.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 10.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 10.5 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ3_S.gguf) | i1-IQ3_S | 10.5 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ3_M.gguf) | i1-IQ3_M | 10.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 11.6 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 12.5 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q4_0.gguf) | i1-Q4_0 | 13.6 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 13.6 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 14.4 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q4_1.gguf) | i1-Q4_1 | 15.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 16.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 16.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Winton-Codex-24B-i1-GGUF/resolve/main/Winton-Codex-24B.i1-Q6_K.gguf) | i1-Q6_K | 19.4 | 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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||||
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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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version https://git-lfs.github.com/spec/v1
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||||
oid sha256:634948f4c993429770791e22e757859842a7db8af8b860547e36a2f17c1869bc
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size 13494228832
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3
Winton-Codex-24B.i1-Q4_1.gguf
Normal file
3
Winton-Codex-24B.i1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:d306f4486dd74c4cfe0a86df12472e037fcad4b72d31fc6f9224c13677c821e0
|
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size 14873106272
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3
Winton-Codex-24B.i1-Q4_K_M.gguf
Normal file
3
Winton-Codex-24B.i1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:53e5df994dc8f14a172dcadd35741a5bb99fa0a0ed1b7a8544dfefeec78dbc4e
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size 14333908832
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3
Winton-Codex-24B.i1-Q4_K_S.gguf
Normal file
3
Winton-Codex-24B.i1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:b76cb34464e900f67b4a4da6707542c7121a484f8eb4c70f6cadf633e021b177
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size 13549279072
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3
Winton-Codex-24B.i1-Q5_K_M.gguf
Normal file
3
Winton-Codex-24B.i1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:f265060c8659d16bd168d816a1712cae0eef2dd9b6749996f4c831a50eb6acae
|
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size 16763983712
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3
Winton-Codex-24B.i1-Q5_K_S.gguf
Normal file
3
Winton-Codex-24B.i1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:a824c1866e93a7e22f542a33f52e7afd927aa4da3a7d8fb6eda86df1a7bf087b
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size 16304412512
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3
Winton-Codex-24B.i1-Q6_K.gguf
Normal file
3
Winton-Codex-24B.i1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f6ff1e341ce53c86869883cd0d6875b2a2653266115e9912cad7229281d28ec8
|
||||
size 19345938272
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3
Winton-Codex-24B.imatrix.gguf
Normal file
3
Winton-Codex-24B.imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5e2f5c9721a931346c494ff1654c215858355b357a10ca3c1412a5e4644ac193
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||||
size 10037312
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||||
Reference in New Issue
Block a user