Update README.md

README.md

@@ -1,54 +1,17 @@
 ---
 base_model: []
 library_name: transformers
-tags:
-- mergekit
-- merge
-
 ---
-# Llama-3-BIG-Instruct
-
-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 passthrough merge method.
+Llama-3-13B-Instruct
 
-### Models Merged
+Thank you to Meta for the weights for Meta-Llama-3-8B-Instruct
 
-The following models were included in the merge:
-* /media/kquant/SSD/Model-2
-* /media/kquant/SSD/Model-1
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png)
 
-### Configuration
+This is an upscaling of the Meta-Llama-3-8B-Instruct Ai using techniques created for Mistral-Evolved-11b-v0.1. This Ai model has been upscaled from 8b parameters to 13b parameters without any continuous pretraining or fine-tuning.
 
-The following YAML configuration was used to produce this model:
+From testing, the model seems to function perfectly at fp16, but has some issues at 4-bit quantization.
 
-```yaml
-dtype: float16
-merge_method: passthrough
-slices:
-- sources:
-  - layer_range: [0, 8]
-    model: /media/kquant/SSD/Model-1
-- sources:
-  - layer_range: [4, 12]
-    model: /media/kquant/SSD/Model-2
-- sources:
-  - layer_range: [8, 16]
-    model: /media/kquant/SSD/Model-1
-- sources:
-  - layer_range: [12, 20]
-    model: /media/kquant/SSD/Model-2
-- sources:
-  - layer_range: [16, 24]
-    model: /media/kquant/SSD/Model-1
-- sources:
-  - layer_range: [20, 28]
-    model: /media/kquant/SSD/Model-2
-- sources:
-  - layer_range: [24, 32]
-    model: /media/kquant/SSD/Model-1
+The model that was used to create this one is linked below:
 
-```
+https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct