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---
license: cc-by-nc-nd-4.0
base_model:
- johnsnowlabs/JSL-MedMNX-7B
- BioMistral/BioMistral-7B-DARE
library_name: transformers
tags:
- mergekit
- merge
---
[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
# QuantFactory/BioMistral-MedMNX-GGUF
This is quantized version of [BioMistral/BioMistral-MedMNX](https://huggingface.co/BioMistral/BioMistral-MedMNX) created using llama.cpp
# Original Model Card
# BioMistral-MedMNX
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [johnsnowlabs/JSL-MedMNX-7B](https://huggingface.co/johnsnowlabs/JSL-MedMNX-7B) as a base.
### Models Merged
The following models were included in the merge:
* [BioMistral/BioMistral-7B-DARE](https://huggingface.co/BioMistral/BioMistral-7B-DARE)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: johnsnowlabs/JSL-MedMNX-7B
parameters:
density: 0.53
weight: 0.4
- model: BioMistral/BioMistral-7B-DARE
parameters:
density: 0.53
weight: 0.3
merge_method: dare_ties
tokenizer_source: union
base_model: johnsnowlabs/JSL-MedMNX-7B
parameters:
int8_mask: true
dtype: bfloat16
```