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Alsebay_-_Narumashi-RT-11B-gguf

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+ Quantization made by Richard Erkhov.
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+
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+ [Github](https://github.com/RichardErkhov)
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+
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+
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+
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+ Narumashi-RT-11B - GGUF
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+ - Model creator: https://huggingface.co/Alsebay/
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+ - Original model: https://huggingface.co/Alsebay/Narumashi-RT-11B/
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+
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+
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [Narumashi-RT-11B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q2_K.gguf) | Q2_K | 3.73GB |
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+ | [Narumashi-RT-11B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.IQ3_XS.gguf) | IQ3_XS | 4.14GB |
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+ | [Narumashi-RT-11B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.IQ3_S.gguf) | IQ3_S | 4.37GB |
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+ | [Narumashi-RT-11B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q3_K_S.gguf) | Q3_K_S | 4.34GB |
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+ | [Narumashi-RT-11B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.IQ3_M.gguf) | IQ3_M | 4.51GB |
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+ | [Narumashi-RT-11B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q3_K.gguf) | Q3_K | 4.84GB |
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+ | [Narumashi-RT-11B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q3_K_M.gguf) | Q3_K_M | 4.84GB |
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+ | [Narumashi-RT-11B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q3_K_L.gguf) | Q3_K_L | 5.26GB |
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+ | [Narumashi-RT-11B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.IQ4_XS.gguf) | IQ4_XS | 5.43GB |
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+ | [Narumashi-RT-11B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q4_0.gguf) | Q4_0 | 5.66GB |
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+ | [Narumashi-RT-11B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.IQ4_NL.gguf) | IQ4_NL | 5.72GB |
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+ | [Narumashi-RT-11B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q4_K_S.gguf) | Q4_K_S | 5.7GB |
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+ | [Narumashi-RT-11B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q4_K.gguf) | Q4_K | 6.02GB |
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+ | [Narumashi-RT-11B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q4_K_M.gguf) | Q4_K_M | 6.02GB |
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+ | [Narumashi-RT-11B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q4_1.gguf) | Q4_1 | 6.27GB |
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+ | [Narumashi-RT-11B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q5_0.gguf) | Q5_0 | 6.89GB |
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+ | [Narumashi-RT-11B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q5_K_S.gguf) | Q5_K_S | 6.89GB |
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+ | [Narumashi-RT-11B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q5_K.gguf) | Q5_K | 7.08GB |
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+ | [Narumashi-RT-11B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q5_K_M.gguf) | Q5_K_M | 7.08GB |
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+ | [Narumashi-RT-11B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q5_1.gguf) | Q5_1 | 7.51GB |
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+ | [Narumashi-RT-11B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q6_K.gguf) | Q6_K | 8.2GB |
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+ | [Narumashi-RT-11B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Alsebay_-_Narumashi-RT-11B-gguf/blob/main/Narumashi-RT-11B.Q8_0.gguf) | Q8_0 | 10.62GB |
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+
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+
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+ Original model description:
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+ ---
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - llama
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+ - trl
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+ - sft
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+ - Roleplay
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+ - roleplay
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+ base_model: Sao10K/Fimbulvetr-11B-v2
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+ ---
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+ > [!Important]
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+ > Still in experiment
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+ # About this model
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+
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+ This model now can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?).
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+
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+ **Update: I think it worse than original model: Sao10K/Fimbulvetr-11B-v2. This model was trained with rough translated dataset, so the responses is short, the IQ logic go down, also it will response wrong name, nonsense sentences sometimes...**
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+ Anyways, if you find this is good, please let me know. Will have another update later.
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+
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+ Do you know TSF, TS, TG? A lot of model don't really know about that, so I do some experiment to finetune TSF dataset.
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+
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+ - **Finetuned with rough translate dataset, to increase the accuracy in TSF theme, which is not quite popular. (lewd dataset)**
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+ - **Finetuned from model :** Sao10K/Fimbulvetr-11B-v2 . Thank Sao10K a lot :)
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+
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+ ## Still testing, but seem it good enough for handle information. But the logic go down a bit because the rough translate dataset.
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+ ## GGUF version? [here is it](https://huggingface.co/Alsebay/Narumashi-RT-11B-GGUF).
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+ ## Dataset
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+ Rough translated dataset, you could say that this is bad quality dataset.
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+ ```
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+ Dataset(all are novels):
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+ 30% skinsuit
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+ 30% possession
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+ 35% transform(shapeshift)
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+ 5% other
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+ ```
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+
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+ # Thank Unsloth for good finetuning tool. This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+
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+ [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+