Update README.md

README.md

@@ -1,40 +1,19 @@
 ---
 base_model:
-- Blazgo/2-pro-base
-- NobodyExistsOnTheInternet/code-llama-70b-python-instruct
+- deca-ai/2-pro-base
 library_name: transformers
 tags:
-- mergekit
 - merge
-
+- reasoning
+- R1
+- Deca
+- Deca-AI
+- uncensored
 ---
-# merge
-
-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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* [Blazgo/2-pro-base](https://huggingface.co/Blazgo/2-pro-base)
-* [NobodyExistsOnTheInternet/code-llama-70b-python-instruct](https://huggingface.co/NobodyExistsOnTheInternet/code-llama-70b-python-instruct)
-
-### Configuration
 
-The following YAML configuration was used to produce this model:
+![Deca 2 Banner](https://huggingface.co/deca-ai/2-mini-beta/resolve/main/banner.jpg)
+The Deca 2 `PRO` model, currently in BETA, is built on cutting-edge architectures like Perplexity's R1 1776, LLaMA 3, and Qwen 2, delivering extraordinary performance. With a focus on insane speed and high efficiency, Deca 2 `PRO` is revolutionizing text generation and setting new standards in the industry.
 
-```yaml
-models:
-  - model: Blazgo/2-pro-base
-  - model: NobodyExistsOnTheInternet/code-llama-70b-python-instruct
-merge_method: slerp
-base_model: Blazgo/2-pro-base
-dtype: bfloat16
-parameters:
-  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
+As more capabilities are added, Deca 2 `PRO` will evolve into a more powerful, any-to-any model in the future. While it’s focused on text generation for now, its foundation is designed to scale, bringing even more advanced functionalities to come.
 
-```
+This model is trained on code-related tasks.