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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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            <!-- ### quants_skip:  -->
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            weighted/imatrix quants of https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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| 1 | 
            +
            ---
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            base_model: swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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            datasets:
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            - gsarti/clean_mc4_it
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            - Chat-Error/wizard_alpaca_dolly_orca
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            - mlabonne/orpo-dpo-mix-40k
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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: llama3
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            model_creator: Marco Polignano - SWAP Research Group
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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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            - facebook
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            - meta
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            - pythorch
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            - llama
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            - llama-3
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            - llamantino
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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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            <!-- ### quants_skip:  -->
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            <!-- ### skip_mmproj:  -->
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            weighted/imatrix quants of https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA
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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#LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF).***
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            static quants are available at https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-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/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ2_M.gguf) | i1-IQ2_M | 3.0 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q2_K_S.gguf) | i1-Q2_K_S | 3.1 | very low quality |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q2_K.gguf) | i1-Q2_K | 3.3 | IQ3_XXS probably better |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.4 | lower quality |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.6 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.8 | IQ3_XS probably better |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ3_S.gguf) | i1-IQ3_S | 3.8 | beats Q3_K* |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ3_M.gguf) | i1-IQ3_M | 3.9 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q3_K_M.gguf) | i1-Q3_K_M | 4.1 | IQ3_S probably better |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.4 | IQ3_M probably better |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.5 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q4_0.gguf) | i1-Q4_0 | 4.8 | fast, low quality |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.8 | prefer IQ4_XS |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.8 | optimal size/speed/quality |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q4_K_M.gguf) | i1-Q4_K_M | 5.0 | fast, recommended |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q4_1.gguf) | i1-Q4_1 | 5.2 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.7 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 |  |
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            | [GGUF](https://huggingface.co/mradermacher/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA-i1-GGUF/resolve/main/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | 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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