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Model: mradermacher/occiglot-7b-it-en-instruct-hf-GGUF Source: Original Platform
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README.md
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---
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base_model: mayflowergmbh/occiglot-7b-it-en-instruct-hf
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language:
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- en
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- it
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library_name: transformers
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license: apache-2.0
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quantized_by: mradermacher
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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: -->
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static quants of https://huggingface.co/mayflowergmbh/occiglot-7b-it-en-instruct-hf
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-i1-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/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q2_K.gguf) | Q2_K | 2.8 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/occiglot-7b-it-en-instruct-hf-GGUF/resolve/main/occiglot-7b-it-en-instruct-hf.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
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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.
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<!-- end -->
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occiglot-7b-it-en-instruct-hf.IQ4_XS.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ed6564f1d8e88ea66c08bf6d840a45b4d851b138921c55b5a047318c1a7c192
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size 3944401152
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occiglot-7b-it-en-instruct-hf.Q2_K.gguf
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oid sha256:1a7d5cab161f59a634e126c4f9e38c7ae1aedc3a101cfddaa452634881c7b548
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size 2719253120
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occiglot-7b-it-en-instruct-hf.Q3_K_L.gguf
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oid sha256:1a15e8be6e8756c42151587f50af767033e45d6f391b35f0cfaac52df550004f
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size 3822036416
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occiglot-7b-it-en-instruct-hf.Q3_K_M.gguf
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size 3518997952
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occiglot-7b-it-en-instruct-hf.Q3_K_S.gguf
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oid sha256:8a4452d1cbafcc6c649ec08aa7e7f651c6d4960cbb9590da84d60d161f201209
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size 3164579264
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occiglot-7b-it-en-instruct-hf.Q4_K_M.gguf
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oid sha256:c40969e32708ffe58c40d8bafc55b3f4f516c92c028ecaea149ac8b927c36441
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size 4368452096
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size 4140386816
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size 5131423232
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size 4997729792
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oid sha256:0a595bb9c2c21e84bf554b964084fc8365dcb81d8fcbfdbe028a33a6a438fd09
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size 5942080064
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size 7695876544
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oid sha256:089b71e29b53c22ff9de9e302941477faf62e0a05312afab0023a909c11e12cb
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size 14484766144
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