Nelathan/Qwen2-7B-FocusMix

FocusMix 7B

This is a model created by merging several powerful language models:

• Base Model: Qwen/Qwen2-7B
• Merge Stock:
  • Replete-AI/Replete-LLM-Qwen2-7b
  • MaziyarPanahi/calme-2.8-qwen2-7b
  • arcee-ai/Arcee-Spark
  • Weyaxi/Einstein-v7-Qwen2-7B

FocusMix inherits the strengths of its component models, resulting in a model with:

• Enhanced Focus: FocusMix leverages the fine-tuning and instruction-following capabilities of Replete-LLM, Arcee-Spark, and Einstein-v7, leading to improved accuracy and coherence in task-specific responses.
• Broader Knowledge Base: The diverse training datasets of the merged models provide FocusMix with a wider range of knowledge and abilities, making it more versatile and capable of handling a wider variety of prompts and tasks.
• Improved Reasoning and Problem-Solving: The inclusion of Calme-2.8, known for its reasoning and problem-solving abilities, enhances FocusMix's capacity for logical deduction and complex task execution.

Purpose: aims to provide a powerful and versatile language model that excels in:

• Task-Specific Instructions: FocusMix can effectively follow specific instructions and complete tasks with high accuracy.
• Complex Reasoning: The model can handle intricate prompts requiring logical deduction and problem-solving.
• Diverse Knowledge Domains: FocusMix can engage in conversations and provide information across a wide range of topics.

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
base_model: Qwen/Qwen2-7B
models:
  - model: Replete-AI/Replete-LLM-Qwen2-7b
  - model: arcee-ai/Arcee-Spark
  - model: Weyaxi/Einstein-v7-Qwen2-7B
  - model: MaziyarPanahi/calme-2.8-qwen2-7b
dtype: bfloat16
tokenizer_source: base