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Model: mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF Source: Original Platform
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---
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base_model: shisa-ai/ablation-195-finalsft2-shisa-v2-mistral-small-24b
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datasets:
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- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
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- shisa-ai/shisa-v2-roleplaying-sft
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- shisa-ai/translation_set_april_6
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- shisa-ai/rewild-set-deepseek-subset
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- shisa-ai/magpie-ultra-set
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- shisa-ai/magpie-advanced-questions-set
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- shisa-ai/japan-magpie-set
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- shisa-ai/shisa-v2-instruction-following-sft
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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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- generated_from_trainer
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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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weighted/imatrix quants of https://huggingface.co/shisa-ai/ablation-195-finalsft2-shisa-v2-mistral-small-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#ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF).***
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static quants are available at https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-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/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ1_S.gguf) | i1-IQ1_S | 5.4 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ1_M.gguf) | i1-IQ1_M | 5.9 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.6 | |
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||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 7.3 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ2_S.gguf) | i1-IQ2_S | 7.6 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ2_M.gguf) | i1-IQ2_M | 8.2 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q2_K_S.gguf) | i1-Q2_K_S | 8.4 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q2_K.gguf) | i1-Q2_K | 9.0 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 9.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 10.0 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 10.5 | IQ3_XS probably better |
|
||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ3_S.gguf) | i1-IQ3_S | 10.5 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ3_M.gguf) | i1-IQ3_M | 10.8 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 11.6 | IQ3_S probably better |
|
||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-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/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 12.9 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q4_0.gguf) | i1-Q4_0 | 13.6 | fast, low quality |
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||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 13.6 | optimal size/speed/quality |
|
||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 14.4 | fast, recommended |
|
||||
| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q4_1.gguf) | i1-Q4_1 | 15.0 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 16.4 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-24b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 16.9 | |
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| [GGUF](https://huggingface.co/mradermacher/ablation-195-finalsft2-shisa-v2-mistral-small-24b-i1-GGUF/resolve/main/ablation-195-finalsft2-shisa-v2-mistral-small-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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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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||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a092c2f653f2216a1060ff95afd136aeb15c04101bac3e6cdc1bad79c2292266
|
||||
size 13494233152
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b586d583cee371b6fd66877364b33efccaa415f67c7aeff9f902c9d32cae9ead
|
||||
size 14873110592
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e325372d490b75b031308644f01be5f4959977e5695081bb6480150491dcef21
|
||||
size 14333913152
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3f80ccf1b554c836f40c66eae54626f7c82457d945fc76922b1ea3bb0031729a
|
||||
size 13549283392
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:309eb632d08ce6cf337e43de505104fe5b2080d3c55e0402da37dd172e8a373f
|
||||
size 16763988032
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7693a39bb008cc5a14b33ddc48ddaa9a3946fabe08538d0cd74ecceda9d18a68
|
||||
size 16304416832
|
||||
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7d25eafeff6a916e3525fcdfa6cf55cfdc9096ef426c2d6ed0407a2f230e4a1d
|
||||
size 19345942592
|
||||
3
imatrix.dat
Normal file
3
imatrix.dat
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fbdfca936076d857cfb52028f2c92baec0b5d68d2f53a3ce316ae7196aa1d268
|
||||
size 10003525
|
||||
Reference in New Issue
Block a user