Kosmos E V A A T S N light 8 B

Introduction

The Kosmos-EVAA-TSN-light-8B model is a merged language model designed for text generation. It employs advanced techniques to integrate multiple pre-trained models using the mergekit library, enabling enhanced performance and versatility.

Architecture

Kosmos-EVAA-TSN-light-8B is a result of merging two models: Kosmos-EVAA-gamma-light-8B and Kosmos-EVAA-TSN-8B. The SLERP merge method is applied to combine the models, focusing on specific layer ranges (0-32 for each model). The configuration involves distinct filtering parameters for self-attention and MLP layers, optimizing the blend of model capabilities.

Training

The model's architecture and merge methodology were configured using a YAML setup that defines the layer ranges, merge method, and specific parameters such as t filters for self-attention and MLP. The model is set to utilize bfloat16 data type, optimizing it for efficient performance without compromising precision.

Guide: Running Locally

To run the Kosmos-EVAA-TSN-light-8B model locally, follow these steps:

1. Install Dependencies: Ensure you have Python and the necessary libraries installed. Use the following command:

   pip install transformers safetensors mergekit
   

2. Download the Model: Use the huggingface_hub to clone the model repository.

   git lfs install
   git clone https://huggingface.co/jaspionjader/Kosmos-EVAA-TSN-light-8B
   

3. Load and Use the Model: Utilize the transformers library to load and test the model.

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   model = AutoModelForCausalLM.from_pretrained("jaspionjader/Kosmos-EVAA-TSN-light-8B")
   tokenizer = AutoTokenizer.from_pretrained("jaspionjader/Kosmos-EVAA-TSN-light-8B")
   
   input_text = "Your input text here."
   inputs = tokenizer(input_text, return_tensors="pt")
   outputs = model.generate(**inputs)
   print(tokenizer.decode(outputs[0]))
   

4. Cloud GPUs: To enhance performance, consider using cloud-based GPU services like AWS, Google Cloud, or Microsoft Azure.

License

The Kosmos-EVAA-TSN-light-8B model is released under a license that should be reviewed to understand usage rights and restrictions. Refer to the model's repository on Hugging Face for specific licensing details.