---

license: apache-2.0
base_model:
- BioMistral/BioMistral-7B-DARE
- Kukedlc/NeuralSynthesis-7B-v0.1
library_name: transformers
tags:
- mergekit
- merge


---

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# QuantFactory/BioMistral-DARE-NS-GGUF
This is quantized version of [BioMistral/BioMistral-DARE-NS](https://huggingface.co/BioMistral/BioMistral-DARE-NS) created using llama.cpp

# Original Model Card

# BioMistral-NS

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 [Kukedlc/NeuralSynthesis-7B-v0.1](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.1) 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: Kukedlc/NeuralSynthesis-7B-v0.1
    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: Kukedlc/NeuralSynthesis-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

```