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Model: mradermacher/VisCoder2-32B-i1-GGUF Source: Original Platform
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README.md
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---
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base_model: TIGER-Lab/VisCoder2-32B
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datasets:
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- TIGER-Lab/VisCode-Multi-679K
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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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- code
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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/TIGER-Lab/VisCoder2-32B
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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#VisCoder2-32B-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/VisCoder2-32B-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/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ1_M.gguf) | i1-IQ1_M | 8.0 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ2_S.gguf) | i1-IQ2_S | 10.5 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ2_M.gguf) | i1-IQ2_M | 11.4 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.6 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.9 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.8 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.5 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ3_S.gguf) | i1-IQ3_S | 14.5 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ3_M.gguf) | i1-IQ3_M | 14.9 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.0 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.3 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.8 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q4_0.gguf) | i1-Q4_0 | 18.8 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 20.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q4_1.gguf) | i1-Q4_1 | 20.7 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.7 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.4 | |
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| [GGUF](https://huggingface.co/mradermacher/VisCoder2-32B-i1-GGUF/resolve/main/VisCoder2-32B.i1-Q6_K.gguf) | i1-Q6_K | 27.0 | 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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||||
3
VisCoder2-32B.i1-Q4_1.gguf
Normal file
3
VisCoder2-32B.i1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6dddd1b11a04c8f49d34f85be4c176a80a9edefc7fa452291878afe8963397e5
|
||||
size 20639243648
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||||
3
VisCoder2-32B.i1-Q4_K_M.gguf
Normal file
3
VisCoder2-32B.i1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:999960768b55c3c7d336c9b632e54312d923f234c61157c1d4c35d6d0ffbfd7c
|
||||
size 19851337088
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||||
3
VisCoder2-32B.i1-Q4_K_S.gguf
Normal file
3
VisCoder2-32B.i1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7f090911e475ea6b529dae28c391912bd5a19ae514209f160633bd849aa0214c
|
||||
size 18784411008
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||||
3
VisCoder2-32B.i1-Q5_K_M.gguf
Normal file
3
VisCoder2-32B.i1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:604f30f46bdfd2223d9f1ee916bc3af8c7fbc074d84af10ba1469e52fa5a53dd
|
||||
size 23262158208
|
||||
3
VisCoder2-32B.i1-Q5_K_S.gguf
Normal file
3
VisCoder2-32B.i1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:79f5c73ecb9a3018587e03c0e8f7e81924e299fab6d8ee7d4cbbfddc8f5a76b6
|
||||
size 22638255488
|
||||
3
VisCoder2-32B.i1-Q6_K.gguf
Normal file
3
VisCoder2-32B.i1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0e12327943e673155f106b24b6111d6026ed92fa6e824103e3b14723f4c7f459
|
||||
size 26886155648
|
||||
3
VisCoder2-32B.imatrix.gguf
Normal file
3
VisCoder2-32B.imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:463e75d6f3c68f81e38a8d4ce891811deca115b883074cc52c8821a028d8da8b
|
||||
size 15011072
|
||||
Reference in New Issue
Block a user