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Model: mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF Source: Original Platform
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3
Qwen2-1.5B-ITA-Instruct.i1-IQ1_M.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ1_M.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ1_S.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ2_M.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ2_S.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ2_XS.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ3_M.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ3_M.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ3_S.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ3_XXS.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ4_NL.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ4_NL.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ4_XS.gguf
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Qwen2-1.5B-ITA-Instruct.i1-IQ4_XS.gguf
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Qwen2-1.5B-ITA-Instruct.i1-Q2_K.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q2_K.gguf
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Qwen2-1.5B-ITA-Instruct.i1-Q2_K_S.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q2_K_S.gguf
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size 640133632
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Qwen2-1.5B-ITA-Instruct.i1-Q3_K_L.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q3_K_L.gguf
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version https://git-lfs.github.com/spec/v1
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size 880161280
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Qwen2-1.5B-ITA-Instruct.i1-Q3_K_M.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q3_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:29bfd6ed9031eb186e421527750db554552c0e5d136b9f22254829fb52a4e2bd
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size 824177152
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3
Qwen2-1.5B-ITA-Instruct.i1-Q3_K_S.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q3_K_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4dcabaf68bce6fd72ba26ee39c727f97c37dd1dcb371c1587a3cfe080c0fcab6
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size 760943104
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3
Qwen2-1.5B-ITA-Instruct.i1-Q4_0.gguf
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Qwen2-1.5B-ITA-Instruct.i1-Q4_0.gguf
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version https://git-lfs.github.com/spec/v1
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Qwen2-1.5B-ITA-Instruct.i1-Q4_1.gguf
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Qwen2-1.5B-ITA-Instruct.i1-Q4_1.gguf
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Qwen2-1.5B-ITA-Instruct.i1-Q4_K_M.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q4_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d1c99277620e2e25030199837e548755f7c219b51f9cbb813305635a65e397f
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size 986046976
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Qwen2-1.5B-ITA-Instruct.i1-Q4_K_S.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q4_K_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b48dd85a77a141cf3db53edbe4911fa00ef12ccb1c607bf9913cb0bf3af1830
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size 940311040
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Qwen2-1.5B-ITA-Instruct.i1-Q5_K_M.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q5_K_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:56131e411f2fec669c4cc383a6f4a301e04e8bcee71a1696cbd946aa123f4625
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size 1125048832
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3
Qwen2-1.5B-ITA-Instruct.i1-Q5_K_S.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q5_K_S.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:1507797e1f3ece89d5f06fdc95c6ee333d730d1c6b59e1fe0c15dbe06340a1ac
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size 1098727936
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3
Qwen2-1.5B-ITA-Instruct.i1-Q6_K.gguf
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3
Qwen2-1.5B-ITA-Instruct.i1-Q6_K.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8f7ba4f65e56c26d8723f0c7270fbe0bdb5e2f9eee5c9371eb7306636fc9aeb
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size 1272738304
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80
README.md
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README.md
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@@ -0,0 +1,80 @@
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---
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base_model: e-palmisano/Qwen2-1.5B-ITA-Instruct
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datasets:
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- gsarti/clean_mc4_it
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- FreedomIntelligence/alpaca-gpt4-italian
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language:
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- it
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- en
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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: nicoboss -->
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weighted/imatrix quants of https://huggingface.co/e-palmisano/Qwen2-1.5B-ITA-Instruct
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-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/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.7 | very low quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.0 | prefer IQ4_XS |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 1.1 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | |
|
||||
| [GGUF](https://huggingface.co/mradermacher/Qwen2-1.5B-ITA-Instruct-i1-GGUF/resolve/main/Qwen2-1.5B-ITA-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | practically like static Q6_K |
|
||||
|
||||
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
||||
types (lower is better):
|
||||
|
||||

|
||||
|
||||
And here are Artefact2's thoughts on the matter:
|
||||
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
||||
|
||||
## FAQ / Model Request
|
||||
|
||||
See https://huggingface.co/mradermacher/model_requests for some answers to
|
||||
questions you might have and/or if you want some other model quantized.
|
||||
|
||||
## Thanks
|
||||
|
||||
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
||||
me use its servers and providing upgrades to my workstation to enable
|
||||
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.
|
||||
|
||||
<!-- end -->
|
||||
3
imatrix.dat
Normal file
3
imatrix.dat
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:29e221ee5a13d47b7ec9af6c602b4583fa121d8695c9c96e39eea683d86b00a4
|
||||
size 2042201
|
||||
Reference in New Issue
Block a user