Kosmos E V A A Franken v37 8 B

Introduction

The Kosmos-EVAA-Franken-v37-8B is a text generation model developed by merging pre-trained language models using mergekit. This model combines the capabilities of different base models to enhance performance in natural language processing tasks.

Architecture

The model is a merged version of two base models: jaspionjader/dp-6-8b and jaspionjader/f-9-8b. The merging process utilized the SLERP method, incorporating specific layers and parameters to optimize the final architecture. The model operates using the bfloat16 data type.

Training

The Kosmos-EVAA-Franken-v37-8B was formed through a merging strategy rather than traditional training. The SLERP method was applied to specific layers of the base models, using defined parameters for self_attn and mlp filters. The merging configuration is detailed in a YAML file to ensure reproducibility.

Guide: Running Locally

To run the Kosmos-EVAA-Franken-v37-8B model locally, follow these steps:

1. Setup Environment: Ensure Python and the necessary libraries are installed. You can use a virtual environment for a clean setup.

   python -m venv env
   source env/bin/activate
   pip install transformers
   

2. Download Model: Utilize the Hugging Face transformers library to load the model.

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   model_name = "jaspionjader/Kosmos-EVAA-Franken-v37-8B"
   model = AutoModelForCausalLM.from_pretrained(model_name)
   tokenizer = AutoTokenizer.from_pretrained(model_name)
   

3. Inference: Use the tokenizer and model for generating text.

   input_text = "Your text here"
   inputs = tokenizer(input_text, return_tensors="pt")
   outputs = model.generate(**inputs)
   print(tokenizer.decode(outputs[0]))
   

4. Cloud GPU Suggestion: For optimal performance, especially with large models, consider using cloud-based GPU services such as AWS, Google Cloud, or Azure.

License

The model is distributed under the license specified by the creator. Please refer to the Hugging Face model card for full licensing details.