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Model: mradermacher/SciRM-Ref-7B-i1-GGUF Source: Original Platform
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---
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arxiv: 2601.11374
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base_model: UKPLab/SciRM-Ref-7B
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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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- reward-model
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- scientific-writing
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- evaluation
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- reinforcement-learning
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- text-generation
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- grpo
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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/UKPLab/SciRM-Ref-7B
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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#SciRM-Ref-7B-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/SciRM-Ref-7B-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/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ1_S.gguf) | i1-IQ1_S | 2.0 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ1_M.gguf) | i1-IQ1_M | 2.1 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.6 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ2_S.gguf) | i1-IQ2_S | 2.7 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ2_M.gguf) | i1-IQ2_M | 2.9 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.9 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q2_K.gguf) | i1-Q2_K | 3.1 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.2 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.6 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ3_S.gguf) | i1-IQ3_S | 3.6 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ3_M.gguf) | i1-IQ3_M | 3.7 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.9 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.2 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.3 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.5 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q4_0.gguf) | i1-Q4_0 | 4.5 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.6 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.8 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q4_1.gguf) | i1-Q4_1 | 5.0 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.4 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.5 | |
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| [GGUF](https://huggingface.co/mradermacher/SciRM-Ref-7B-i1-GGUF/resolve/main/SciRM-Ref-7B.i1-Q6_K.gguf) | i1-Q6_K | 6.4 | 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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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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||||||
|
size 4437814272
|
||||||
3
SciRM-Ref-7B.i1-IQ4_XS.gguf
Normal file
3
SciRM-Ref-7B.i1-IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:bc218140f23b4cb397bea9629f2eda184d68629f369644f2943a0040cb7357b8
|
||||||
|
size 4218473472
|
||||||
3
SciRM-Ref-7B.i1-Q2_K.gguf
Normal file
3
SciRM-Ref-7B.i1-Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:72dbed23c044f0e8552fd8104e2ebce00ec44e1447b13917b344e49cd9040498
|
||||||
|
size 3015941120
|
||||||
3
SciRM-Ref-7B.i1-Q2_K_S.gguf
Normal file
3
SciRM-Ref-7B.i1-Q2_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:b77f2f43fde569a5de9ef3480e2474ea6d8748223019ed96e652ff470486b4be
|
||||||
|
size 2834074624
|
||||||
3
SciRM-Ref-7B.i1-Q3_K_L.gguf
Normal file
3
SciRM-Ref-7B.i1-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ae72413bcbee3e46c54ed81f03b382f85d41721dd3afc39cea025f89754a5658
|
||||||
|
size 4088460288
|
||||||
3
SciRM-Ref-7B.i1-Q3_K_M.gguf
Normal file
3
SciRM-Ref-7B.i1-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e123f1f465e86fcb829f4eb4c00808f8c9ad95ee63de0f811cbb8c1974440dc6
|
||||||
|
size 3808392192
|
||||||
3
SciRM-Ref-7B.i1-Q3_K_S.gguf
Normal file
3
SciRM-Ref-7B.i1-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:ee604c8dda2121291d36c172b0f9708987404e1aac97f6151a9ff1c9bbd45413
|
||||||
|
size 3492369408
|
||||||
3
SciRM-Ref-7B.i1-Q4_0.gguf
Normal file
3
SciRM-Ref-7B.i1-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:cff94cae3b5adbb51dc0a83382308b851b147fda11f71528ede3af3bbc8987a1
|
||||||
|
size 4444122112
|
||||||
3
SciRM-Ref-7B.i1-Q4_1.gguf
Normal file
3
SciRM-Ref-7B.i1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:8dfac2d090d82bb9567f0cead2f6fd2173421ef5f4459deb06566b8e7bd62429
|
||||||
|
size 4873284608
|
||||||
3
SciRM-Ref-7B.i1-Q4_K_M.gguf
Normal file
3
SciRM-Ref-7B.i1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:365e6f49d9723265df16dc3f1cfaf219f406bf36df2611708b266166eca4e982
|
||||||
|
size 4683074560
|
||||||
3
SciRM-Ref-7B.i1-Q4_K_S.gguf
Normal file
3
SciRM-Ref-7B.i1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:8e1109e7bb61eae6fe829d9ea1510544ba15c40bb1dd1926e6c7e09dc6257b86
|
||||||
|
size 4457769984
|
||||||
3
SciRM-Ref-7B.i1-Q5_K_M.gguf
Normal file
3
SciRM-Ref-7B.i1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:838926e8cae481ac4c829956a4d1d8c4bccacb826928071f796c545571639785
|
||||||
|
size 5444832256
|
||||||
3
SciRM-Ref-7B.i1-Q5_K_S.gguf
Normal file
3
SciRM-Ref-7B.i1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:70f733b82640322dd4c162d9a8a7e8a4ac9d2003e5b23321b64e15aa2ee227e4
|
||||||
|
size 5315177472
|
||||||
3
SciRM-Ref-7B.i1-Q6_K.gguf
Normal file
3
SciRM-Ref-7B.i1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:1ab5294f81cdfb0eec056ec9ce7d1898863b468651ecfec103982d8e6613a9f0
|
||||||
|
size 6254199808
|
||||||
3
SciRM-Ref-7B.imatrix.gguf
Normal file
3
SciRM-Ref-7B.imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:eeb70aabc75875aa416cb6070029b795b5e42e9f28a66f5d2f08ab5d9cd44980
|
||||||
|
size 4560352
|
||||||
Reference in New Issue
Block a user