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Model: mradermacher/SWE-AGILE-SFT-14B-i1-GGUF Source: Original Platform
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---
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base_model: KDEGroup/SWE-AGILE-SFT-14B
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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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- agent
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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/KDEGroup/SWE-AGILE-SFT-14B
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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#SWE-AGILE-SFT-14B-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-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/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ1_S.gguf) | i1-IQ1_S | 3.7 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ1_M.gguf) | i1-IQ1_M | 3.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.8 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ2_S.gguf) | i1-IQ2_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ2_M.gguf) | i1-IQ2_M | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 5.5 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q2_K.gguf) | i1-Q2_K | 5.9 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 6.0 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 6.5 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.8 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ3_S.gguf) | i1-IQ3_S | 6.8 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ3_M.gguf) | i1-IQ3_M | 7.0 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 7.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 8.0 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 8.2 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.6 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q4_0.gguf) | i1-Q4_0 | 8.6 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.7 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 9.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q4_1.gguf) | i1-Q4_1 | 9.5 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 10.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 10.6 | |
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| [GGUF](https://huggingface.co/mradermacher/SWE-AGILE-SFT-14B-i1-GGUF/resolve/main/SWE-AGILE-SFT-14B.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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Normal file
3
SWE-AGILE-SFT-14B.i1-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:612b8e96d0df4b95938a63670fdaf3f5013cb0e922b55d37b1b1237206d1820f
|
||||
size 7900651744
|
||||
3
SWE-AGILE-SFT-14B.i1-Q3_K_M.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1df6fa8f747ce28fda733df787988996ae930e769423c661c84fd1b27174715e
|
||||
size 7321313504
|
||||
3
SWE-AGILE-SFT-14B.i1-Q3_K_S.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:98097cbdbe689db653579f4926b74e63469bd6dd9241070439de389898fa540c
|
||||
size 6657106144
|
||||
3
SWE-AGILE-SFT-14B.i1-Q4_0.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:13158ead3bd61ac17a10905437498f56c1559888254dc21870734623c32f46a0
|
||||
size 8543001824
|
||||
3
SWE-AGILE-SFT-14B.i1-Q4_1.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:400eeb4e0d4ae9c1c5587d7cbc13e1682c4c693d8a5d761e7ee21c6c55448ce1
|
||||
size 9389522144
|
||||
3
SWE-AGILE-SFT-14B.i1-Q4_K_M.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:078bf72b2ae7ea3a6c985c4452683239fe6b8f73dd9b601db5432ecf110ec27b
|
||||
size 9001753824
|
||||
3
SWE-AGILE-SFT-14B.i1-Q4_K_S.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e163bafab97ce89e0209d3be3856a4c9c5e7b2738f049c58827f3b0a62566534
|
||||
size 8573476064
|
||||
3
SWE-AGILE-SFT-14B.i1-Q5_K_M.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3af761b202a6f3674c8e31e4762f6098d32b191622dfa2c15d16d67196bc4e3d
|
||||
size 10514570464
|
||||
3
SWE-AGILE-SFT-14B.i1-Q5_K_S.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7facc54ab93d99bbef02822679760a4a20069ee556ef9aad1a42bfea31a7ea75
|
||||
size 10263895264
|
||||
3
SWE-AGILE-SFT-14B.i1-Q6_K.gguf
Normal file
3
SWE-AGILE-SFT-14B.i1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:cef933ff868f00015b35aab9b7941dbdbe653efda8bf041b397c9508fd65e290
|
||||
size 12121938144
|
||||
3
SWE-AGILE-SFT-14B.imatrix.gguf
Normal file
3
SWE-AGILE-SFT-14B.imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0731aa906053961c82b7a5ed0b48fdc0710505e8070d07d2e0769793fabfff6a
|
||||
size 7743552
|
||||
Reference in New Issue
Block a user