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README.md
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---
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base_model:
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- mistralai/Mistral-7B-Instruct-v0.2
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- NousResearch/Hermes-2-Pro-Mistral-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: mit
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language:
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- en
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---
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# Mixtral_BaseModel -7B-BBase
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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.
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### Models Merged
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The following models were included in the merge:
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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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One of the best Models
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* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
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Seems to be fine ?? Still to be tested intensly (ie what is a cat!)(write a neural network in vb.net)
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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: mistralai/Mistral-7B-Instruct-v0.2
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parameters:
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weight: 1.0
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- model: NousResearch/Hermes-2-Pro-Mistral-7B
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parameters:
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weight: 0.3
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merge_method: linear
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dtype: float16
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```
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```python
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%pip install llama-index-embeddings-huggingface
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%pip install llama-index-llms-llama-cpp
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---
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library_name: transformers
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license: mit
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language:
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- en
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---
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# Mixtral_BaseModel -7B-BBase
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```python
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%pip install llama-index-embeddings-huggingface
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%pip install llama-index-llms-llama-cpp
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