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README.md

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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
+
+```
+