Fw F Qwen 7 B 0.2

bunnycore

Introduction

FwF-Qwen-7B-0.2 is a merged large language model designed for a variety of tasks including reasoning, long thinking, roleplay, and general tasks. It combines the strengths of different specialized base models to achieve enhanced performance in these areas.

Architecture

FwF-Qwen-7B-0.2 is constructed by merging four distinct models:

  • bunnycore/FuseQwQen-7B
  • prithivMLmods/QwQ-LCoT-7B-Instruct
  • qingy2024/UwU-7B-Instruct
  • fblgit/cybertron-v4-qw7B-UNAMGS

The merging process employed a linear method, further detailed in the research paper arxiv: 2203.05482.

Training

The model was assembled using a YAML configuration specifying different weightings for each base model:

  • bunnycore/FuseQwQen-7B: 0.9
  • qingy2024/UwU-7B-Instruct: 0.9
  • prithivMLmods/QwQ-LCoT-7B-Instruct: 0.5
  • fblgit/cybertron-v4-qw7B-UNAMGS: 0.5

The following settings were used:

  • merge_method: linear
  • normalize: false
  • int8_mask: true
  • dtype: bfloat16

Guide: Running Locally

To run the FwF-Qwen-7B-0.2 model locally, follow these steps:

  1. Install Dependencies: Ensure you have Python and the transformers library installed.
    pip install transformers
    
  2. Download the Model: Use the Hugging Face transformers library to load the model.
    from transformers import AutoModelForCausalLM, AutoTokenizer
    
    tokenizer = AutoTokenizer.from_pretrained("bunnycore/FwF-Qwen-7B-0.2")
    model = AutoModelForCausalLM.from_pretrained("bunnycore/FwF-Qwen-7B-0.2")
    
  3. Cloud GPUs: For optimal performance, consider using cloud services such as AWS, GCP, or Azure, which provide access to high-performance GPUs.

License

The licensing details for the FwF-Qwen-7B-0.2 model are not specified in the provided information. Users should refer to the Hugging Face model card or repository for any licensing terms or restrictions.

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