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--- |
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base_model: werty1248/Mistral-Nemo-NT-Ko-12B-sft |
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datasets: |
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- 4DR1455/finance_questions |
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- Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k |
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- Aratako/Synthetic-JP-EN-Coding-Dataset-Magpie-69k |
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- Aratako/Synthetic-Japanese-Roleplay-NSFW-Claude-3.5s-10.5k-formatted |
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- BCCard/BCCard-Finance-Kor-QnA |
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- CarrotAI/ko-code-alpaca-QA |
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- ChuGyouk/AI_healthcare_QA_samples_Sonnet3.5 |
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- DavidLanz/medical_instruction |
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- Dusker/lawyer-llama |
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- Gryphe/Sonnet3.5-Charcard-Roleplay |
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- HAERAE-HUB/qarv-instruct-ko |
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- HachiML/alpaca_jp_math |
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- Magpie-Align/Magpie-Llama-3.1-Pro-MT-300K-v0.1 |
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- Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese |
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- beomi/KoAlpaca-v1.1a |
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- codefuse-ai/Evol-instruction-66k |
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- frankminors123/belle-math-zh |
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- gbharti/wealth-alpaca_lora |
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- iam-ajaymeena/Self-Instruct-Japanese-Elzya-13B |
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- jihye-moon/LawQA-Ko |
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- jondurbin/gutenberg-dpo-v0.1 |
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- junyeong-nero/kin_med_100K_edited |
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- kyujinpy/KOR-OpenOrca-Platypus-v3 |
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- lavita/medical-qa-datasets |
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- microsoft/orca-math-word-problems-200k |
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- neural-bridge/rag-dataset-12000 |
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- p1atdev/ichikara-instruction |
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- qiaojin/PubMedQA |
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- shibing624/roleplay-zh-sharegpt-gpt4-data |
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- team-hatakeyama-phase2/AutoMultiTurnByCalm3-22B-Corrected-reformatted |
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- ymoslem/Law-StackExchange |
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- zzunyang/LawQA_LawSee |
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language: |
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- en |
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- ko |
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- ja |
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- zh |
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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./werty1248/Mistral-Nemo-NT-Ko-12B-sft |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-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/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 7.2 | fast on arm, low quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 7.2 | fast on arm+i8mm, low quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 7.2 | fast on arm+sve, low quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | | |
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| [GGUF](https://huggingface.co./mradermacher/Mistral-Nemo-NT-Ko-12B-sft-i1-GGUF/resolve/main/Mistral-Nemo-NT-Ko-12B-sft.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | 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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