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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+MFANNv0.14.10 - bnb 4bits
+- Model creator: https://huggingface.co/netcat420/
+- Original model: https://huggingface.co/netcat420/MFANNv0.14.10/
+
+
+
+
+Original model description:
+---
+base_model:
+- netcat420/MFANNv0.14
+- MaziyarPanahi/Llama-3-8B-Instruct-v0.4
+- netcat420/MFANNv0.13
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# MFANNv0.14.10
+
+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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [MaziyarPanahi/Llama-3-8B-Instruct-v0.4](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.4) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [netcat420/MFANNv0.14](https://huggingface.co/netcat420/MFANNv0.14)
+* [netcat420/MFANNv0.13](https://huggingface.co/netcat420/MFANNv0.13)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: netcat420/MFANNv0.14
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: netcat420/MFANNv0.13
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+merge_method: ties
+base_model: MaziyarPanahi/Llama-3-8B-Instruct-v0.4
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+
+```
+
+