| Quantization made by Richard Erkhov. | |
| [Github](https://github.com/RichardErkhov) | |
| [Discord](https://discord.gg/pvy7H8DZMG) | |
| [Request more models](https://github.com/RichardErkhov/quant_request) | |
| Narumashi-RT-11B - GGUF | |
| - Model creator: https://huggingface.co/Alsebay/ | |
| - Original model: https://huggingface.co/Alsebay/Narumashi-RT-11B/ | |
| | Name | Quant method | Size | | |
| | ---- | ---- | ---- | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| | [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 | | |
| Original model description: | |
| --- | |
| language: | |
| - en | |
| license: cc-by-nc-4.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| - sft | |
| - Roleplay | |
| - roleplay | |
| base_model: Sao10K/Fimbulvetr-11B-v2 | |
| --- | |
| > [!Important] | |
| > Still in experiment | |
| # About this model | |
| This model now can handle (limited) TSF content. If you Character Card have complex plot, maybe you should try other model (maybe bigger parameter?). | |
| **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...** | |
| Anyways, if you find this is good, please let me know. Will have another update later. | |
| 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. | |
| - **Finetuned with rough translate dataset, to increase the accuracy in TSF theme, which is not quite popular. (lewd dataset)** | |
| - **Finetuned from model :** Sao10K/Fimbulvetr-11B-v2 . Thank Sao10K a lot :) | |
| ## Still testing, but seem it good enough for handle information. But the logic go down a bit because the rough translate dataset. | |
| ## GGUF version? [here is it](https://huggingface.co/Alsebay/Narumashi-RT-11B-GGUF). | |
| ## Dataset | |
| Rough translated dataset, you could say that this is bad quality dataset. | |
| ``` | |
| Dataset(all are novels): | |
| 30% skinsuit | |
| 30% possession | |
| 35% transform(shapeshift) | |
| 5% other | |
| ``` | |
| # 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. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |