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--- |
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tags: |
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- mistral |
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- conversational |
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- text-generation-inference |
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- mergekit |
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- merge |
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base_model: |
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- Sao10K/MN-12B-Lyra-v2a1 |
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- migtissera/Tess-3-Mistral-Nemo-12B |
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- TheDrummer/Rocinante-12B-v1.1 |
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library_name: transformers |
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--- |
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> [!WARNING] |
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> **General Use Sampling:**<br> |
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> Mistral-Nemo-12B is very sensitive to the temperature sampler, try values near **0.3** at first or else you will get some weird results. This is mentioned by MistralAI at their [Transformers](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407#transformers) section. |
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> [!NOTE] |
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> **Best Samplers:**<br> |
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> I found best success using the following for Hollow-Tail-V1-12B:<br> |
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> Temperature: `1.2`<br> |
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> Top K: `-1`<br> |
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> Min P: `0.05`<br> |
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> Rep Penalty: `1.08`<br> |
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# Results |
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**Disclaimer**: This is a model merge! |
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Seems to be a bit smarter than I expected from my experience. May need a bit of guidance through system prompts at the beginning but it was quite fun to use. Though one thing I've realized with Mistral-Nemo is that the model does not really seem to end correctly, so instead I use the following format: <br> |
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Obviously this is just my personal experience but I find this to be a good setup, I strongly recommend you experiment with different system formats and see which is better for you. Note that none of these models are fine-tuned for this specific format, I believe most of them are fine-tuned on Mistral's original [INST] and [/INST] format or ChatML. |
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``` |
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<[start_system]> |
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You are a professional writer. |
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<[STOP]> |
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<[start_prompt]> |
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User prompt here. |
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<[STOP]> |
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<[start_model]> |
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Model response here. |
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<[STOP]> |
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``` |
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**Original Models:** <br> |
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- [Sao10K/MN-12B-Lyra-v2a1](https://huggingface.co/Sao10K/MN-12B-Lyra-v2a1) (Thank you so much for your work ♥) |
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- [migtissera/Tess-3-Mistral-Nemo-12B](https://huggingface.co/migtissera/Tess-3-Mistral-Nemo-12B) (Thank you so much for your work ♥) |
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- [TheDrummer/Rocinante-12B-v1.1](https://huggingface.co/TheDrummer/Rocinante-12B-v1.1) (Thank you so much for your work ♥) |
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**GGUF Quants:** <br> |
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- [starble-dev/Hollow-Tail-V1-12B-GGUF](https://huggingface.co/starble-dev/Hollow-Tail-V1-12B-GGUF) |
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**Original Model Licenses:** <br> |
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- **Sao10K/MN-12B-Lyra-v2a1** is licensed under **Creative Commons Attribution Non Commercial 4.0** |
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- **migtissera/Tess-3-Mistral-Nemo-12B** is licensed under **apache-2.0** |
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- **TheDrummer/Rocinante-12B-v1.1** license is not specified |
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--- |
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# Hollow-Tail-V1-12B |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using models/Rocinante-12B-v1.1 as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* migtissera/Tess-3-Mistral-Nemo-12B |
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* Sao10K/MN-12B-Lyra-v2a1 |
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* TheDrummer/Rocinante-12B-v1.1 |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: Sao10K/MN-12B-Lyra-v2a1 |
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parameters: |
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weight: 0.8 |
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- model: migtissera/Tess-3-Mistral-Nemo-12B |
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parameters: |
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weight: 0.2 |
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- model: TheDrummer/Rocinante-12B-v1.1 |
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parameters: |
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weight: 0.8 |
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merge_method: linear |
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base_model: TheDrummer/Rocinante-12B-v1.1 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
