Update README.md

README.md

@@ -1,51 +1,34 @@
 ---
-base_model:
-- adowu/a3
-- adowu/a1
-- adowu/a2
 library_name: transformers
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
 tags:
-- mergekit
-- merge
-
+- astral
+- 256k
+- long
+- mistral
 ---
-# merge
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-## Merge Details
-### Merge Method
+### ASTRAL-256k-5.5b-v2
 
-This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [adowu/a2](https://huggingface.co/adowu/a2) as a base.
+The adowu/astral-256k-5.5b-v2 is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly effective for a wide range of natural language processing (NLP) applications.
 
-### Models Merged
+## Key Features
+- Advanced Architecture: Utilizes the MistralForCausalLM framework, enabling efficient and effective text processing and generation.
+- Large Model Scale: Equipped with a substantial model size, it captures and processes a vast amount of information, enhancing its understanding and generation capabilities.
+- Extended Sequence Handling: Capable of managing exceptionally long sequences, this model excels in tasks requiring extensive contextual information.
 
-The following models were included in the merge:
-* [adowu/a3](https://huggingface.co/adowu/a3)
-* [adowu/a1](https://huggingface.co/adowu/a1)
+## Performance and Efficiency
+Optimized for high performance, the model employs techniques to balance computational efficiency with output precision. This optimization ensures it can be deployed effectively across various platforms, including those supporting bfloat16 computations, without significant loss in the quality of generated text.
 
-### Configuration
+## Application Potential
 
-The following YAML configuration was used to produce this model:
+The model's sophisticated understanding and text generation capabilities make it ideal for several advanced applications:
+- Content Generation: From articles and reports to creative writing, it can produce coherent and contextually rich content.
+- Conversational Systems: Powers chatbots and virtual assistants, facilitating deep and meaningful interactions over extended conversations.
+- Complex Language Understanding Tasks: Excellently performs in summarization, translation, and other tasks over large documents, showcasing its ability to handle detailed and nuanced language understanding.
 
-```yaml
-models:
-  - model: adowu/a1
-    parameters:
-      density: 1.0
-      weight: 0.9
-  - model: adowu/a2
-    parameters:
-      density: 1.0
-      weight: 0.7
-  - model: adowu/a3
-    parameters:
-      density: 1.0
-      weight: 0.8
-merge_method: dare_ties
-base_model: adowu/a2
-parameters:
-  normalize: true
-  int8_mask: true
-dtype: bfloat16
-```
+- **Developed by:** aww
+- **Model type:** Mistral