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Model: mradermacher/Tema_Q-R-0.4B-i1-GGUF Source: Original Platform
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Tema_Q-R-0.4B.imatrix.gguf filter=lfs diff=lfs merge=lfs -text
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---
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base_model: temaq-org/Tema_Q-R-0.4B
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language:
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- ja
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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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- lfm2.5
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- transformer
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- instruction-tuned
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- multilingual
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- uncensored
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- non-censored
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- unfiltered
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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/temaq-org/Tema_Q-R-0.4B
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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#Tema_Q-R-0.4B-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/Tema_Q-R-0.4B-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/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.2 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.2 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.3 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.3 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q2_K.gguf) | i1-Q2_K | 0.3 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.3 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.3 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.3 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.3 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.3 | prefer IQ4_XS |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q4_0.gguf) | i1-Q4_0 | 0.3 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.3 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.3 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q4_1.gguf) | i1-Q4_1 | 0.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 0.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Tema_Q-R-0.4B-i1-GGUF/resolve/main/Tema_Q-R-0.4B.i1-Q6_K.gguf) | i1-Q6_K | 0.4 | 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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oid sha256:298efc8502630f74fcb9e485aaba85b99cdb35a91118c2d2b16534a797db309e
|
||||
size 154183968
|
||||
3
Tema_Q-R-0.4B.i1-Q3_K_L.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6ea02e2d465aa51ecb18c438dd885346b7c0c5692935069a650e5fe3601d5336
|
||||
size 203049248
|
||||
3
Tema_Q-R-0.4B.i1-Q3_K_M.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5e96a2bcb89730f885543f2ce91442f40692e2177c76fbdafbade9e1165a9651
|
||||
size 193153312
|
||||
3
Tema_Q-R-0.4B.i1-Q3_K_S.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:69dc156fb860238005550e6d01103e547fe3bd79195176a5f9e36d4eea1895cf
|
||||
size 181152032
|
||||
3
Tema_Q-R-0.4B.i1-Q4_0.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ef7bcce876e782230f9ea2005c315fea207b8f3f57ff3b35d25258687b10661f
|
||||
size 219900192
|
||||
3
Tema_Q-R-0.4B.i1-Q4_1.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a8d79161a097300562dc0fe7029e017a6a2bae8c23c89ab58635e23cbd2cc2eb
|
||||
size 237267232
|
||||
3
Tema_Q-R-0.4B.i1-Q4_K_M.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d88cd11a2588983e03730feef2872c2f19492d1df664d49e635b22776b0efeb7
|
||||
size 229312800
|
||||
3
Tema_Q-R-0.4B.i1-Q4_K_S.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7cfceaedfce7f31247bbdbe2d8601a6959e2c138eb3129a347f6ebcdd0eebbaf
|
||||
size 220752160
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||||
3
Tema_Q-R-0.4B.i1-Q5_K_M.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0055421c7f47949167bd4d1e09a549b5707a80abe61ba85a09593967f9f77b6b
|
||||
size 260376864
|
||||
3
Tema_Q-R-0.4B.i1-Q5_K_S.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:47121c60944f34ade81ec53234eefb96dec6288dc41fdefde644bc4d92d58c60
|
||||
size 255224096
|
||||
3
Tema_Q-R-0.4B.i1-Q6_K.gguf
Normal file
3
Tema_Q-R-0.4B.i1-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ba3b96bfbcad7326686c450566309523f6cbc09894d7ca83a39d5d565875690d
|
||||
size 293382432
|
||||
3
Tema_Q-R-0.4B.imatrix.gguf
Normal file
3
Tema_Q-R-0.4B.imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:f13523e5a59af88f353e76a85d03bf91d0f93a21245f5cdc1bf1eb08efbafcf3
|
||||
size 620864
|
||||
Reference in New Issue
Block a user